Triple

T34921227
Position Surface form Disambiguated ID Type / Status
Subject Jefferson Transit E1007142 entity
Predicate locatedInMetropolitanPlanningOrganizationArea P104946 FINISHED
Object Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes
The Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes is the metropolitan planning organization responsible for coordinating regional transportation and land-use planning across the greater New Orleans area.
E2117012 NE FINISHED

How this triple was built (3 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: Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes | Statement: [Jefferson Transit, locatedInMetropolitanPlanningOrganizationArea, Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes]
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: Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes
Triple: [Jefferson Transit, locatedInMetropolitanPlanningOrganizationArea, Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes]
Generated description
The Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes is the metropolitan planning organization responsible for coordinating regional transportation and land-use planning across the greater New Orleans area.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInMetropolitanPlanningOrganizationArea
Context triple: [Jefferson Transit, locatedInMetropolitanPlanningOrganizationArea, Regional Planning Commission for Jefferson, Orleans, Plaquemines, St. Bernard, and St. Tammany Parishes]
  • A. hasMetropolitanPlanningAuthority chosen
    Indicates that an entity is under the jurisdiction or oversight of a specific metropolitan planning authority responsible for regional planning and development decisions.
  • B. isWithinMetroArea
    Indicates that one location lies inside the geographic boundaries of a specified metropolitan area.
  • C. belongsToMetropolitanRegion
    Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
  • D. locatedNearMetropolitanArea
    Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
  • E. hasMetropolitanCouncil
    Indicates that an administrative region or jurisdiction is governed or overseen by a metropolitan council.
  • F. None of above.

Provenance (6 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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f9e55c8190a89f8a6a9a5753d1 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378f9e0e5881909de7792d091ddcdf completed June 21, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a37906a102c8190a47f112103741b80 completed June 21, 2026, 7:19 a.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4 p.m.