Triple

T17010005
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 221 E412672 entity
Predicate abbreviation P43 FINISHED
Object ME 221
ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
 E1244633 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 221 | Statement: [Maine State Route 221, abbreviation, ME 221]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 221
Context triple: [Maine State Route 221, abbreviation, ME 221]
  • 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 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • C. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • D. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
  • E. ME 214
    ME 214 is a state highway in Maine that serves as a short connector route within the state's regional road network.
  • 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 221
Triple: [Maine State Route 221, abbreviation, ME 221]
Generated description
ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 221
Target entity description: ME 221 is a state highway in Maine that serves as a local 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 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • C. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • D. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
  • E. ME 214
    ME 214 is a state highway in Maine that serves as a short connector route within the state's regional road network.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:33 a.m.