Triple

T17529978
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 227 E426903 entity
Predicate abbreviation P43 FINISHED
Object ME 227
ME 227 is a state highway in Maine that serves as a regional connector route within the state's road network.
 E1273561 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: ME 227 | Statement: [Maine State Route 227, abbreviation, ME 227]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 227
Context triple: [Maine State Route 227, abbreviation, ME 227]
  • A. ME 220
    ME 220 is a state highway in Maine that runs through rural communities, connecting local roads and other major routes in the region.
  • B. ME 224
    ME 224 is a short state highway in Maine that serves as a local connector route within the state's road network.
  • C. ME 223
    ME 223 is a short state highway in Maine that serves as a local connector route between nearby communities.
  • D. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • E. ME 222
    ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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: ME 227
Triple: [Maine State Route 227, abbreviation, ME 227]
Generated description
ME 227 is a state highway in Maine that serves as a regional connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 227
Target entity description: ME 227 is a state highway in Maine that serves as a regional connector route within the state's road network.
  • A. ME 220
    ME 220 is a state highway in Maine that runs through rural communities, connecting local roads and other major routes in the region.
  • B. ME 224
    ME 224 is a short state highway in Maine that serves as a local connector route within the state's road network.
  • C. ME 223
    ME 223 is a short state highway in Maine that serves as a local connector route between nearby communities.
  • D. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • E. ME 222
    ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45367d68c819097f300381322f11d completed April 19, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9494c28819086d10adb536ffed8 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca2927f081908856b2d206776e44 completed May 11, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a01caa5d0c8819085dea57b00c498e0 completed May 11, 2026, 12:25 p.m.
Created at: April 10, 2026, 5:49 a.m.