Triple

T20614659
Position Surface form Disambiguated ID Type / Status
Subject Commonwealth Transportation Board E506533 entity
Predicate collaboratesWith P37 FINISHED
Object Metropolitan Planning Organizations in Virginia
Metropolitan Planning Organizations in Virginia are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
E1441696 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Metropolitan Planning Organizations in Virginia | Statement: [Commonwealth Transportation Board, collaboratesWith, Metropolitan Planning Organizations in Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan Planning Organizations in Virginia
Context triple: [Commonwealth Transportation Board, collaboratesWith, Metropolitan Planning Organizations in Virginia]
  • A. Metropolitan Planning Organizations in Massachusetts
    Metropolitan Planning Organizations in Massachusetts are regional transportation planning bodies that coordinate long-range transportation investments and policies across the state’s metropolitan areas.
  • B. Metropolitan Planning Organizations in New Jersey
    Metropolitan Planning Organizations in New Jersey are regional transportation planning bodies that coordinate long-range transportation investments and policies across the state’s metropolitan areas.
  • C. Metropolitan Planning Organizations in Georgia
    Metropolitan Planning Organizations in Georgia are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
  • D. Metropolitan Planning Organizations in Texas
    Metropolitan Planning Organizations in Texas are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
  • E. Metropolitan Planning Organizations in Northern California
    Metropolitan Planning Organizations in Northern California are regional transportation planning agencies that coordinate long-range transit, land use, and infrastructure strategies across multiple jurisdictions in the northern part of the state.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metropolitan Planning Organizations in Virginia
Triple: [Commonwealth Transportation Board, collaboratesWith, Metropolitan Planning Organizations in Virginia]
Generated description
Metropolitan Planning Organizations in Virginia are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metropolitan Planning Organizations in Virginia
Target entity description: Metropolitan Planning Organizations in Virginia are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
  • A. Metropolitan Planning Organizations in Massachusetts
    Metropolitan Planning Organizations in Massachusetts are regional transportation planning bodies that coordinate long-range transportation investments and policies across the state’s metropolitan areas.
  • B. Metropolitan Planning Organizations in New Jersey
    Metropolitan Planning Organizations in New Jersey are regional transportation planning bodies that coordinate long-range transportation investments and policies across the state’s metropolitan areas.
  • C. Metropolitan Planning Organizations in Georgia
    Metropolitan Planning Organizations in Georgia are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
  • D. Metropolitan Planning Organizations in Texas
    Metropolitan Planning Organizations in Texas are regional transportation planning bodies that coordinate long-range transportation strategies and funding priorities for urbanized areas across the state.
  • E. Metropolitan Planning Organizations in Northern California
    Metropolitan Planning Organizations in Northern California are regional transportation planning agencies that coordinate long-range transit, land use, and infrastructure strategies across multiple jurisdictions in the northern part of the state.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadaf47881909e93efb535c6c1e3 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb13545c8190afcd6b35e2aa56ef completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb570f4819093e23b20fd83d101 completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bf7d661c8190af9e9b7b4121f951 completed May 16, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:41 a.m.