Triple

T14680184
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 187 E344757 entity
Predicate hasAbbreviation P43 FINISHED
Object SR 187
SR 187 is a state highway in Maine that serves as a scenic coastal route connecting several communities on the state's eastern shoreline.
E1114766 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: SR 187 | Statement: [Maine State Route 187, hasAbbreviation, SR 187]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 187
Context triple: [Maine State Route 187, hasAbbreviation, SR 187]
  • A. SR 185
    SR 185 is a state highway in Maine that serves as a local connector route along the coast of Hancock County.
  • B. SR 181
    SR 181 is a state highway in Maine that serves as a regional connector route through Hancock County.
  • C. SR 188
    SR 188 is a state highway in Ohio that connects several communities in the central part of the state.
  • D. SR 188
    SR 188 is a short California state highway that connects the city of Tecate to the U.S.–Mexico border in San Diego County.
  • E. SR 180
    SR 180 is a state highway designation used for specific numbered routes within a U.S. state's 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: SR 187
Triple: [Maine State Route 187, hasAbbreviation, SR 187]
Generated description
SR 187 is a state highway in Maine that serves as a scenic coastal route connecting several communities on the state's eastern shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 187
Target entity description: SR 187 is a state highway in Maine that serves as a scenic coastal route connecting several communities on the state's eastern shoreline.
  • A. SR 185
    SR 185 is a state highway in Maine that serves as a local connector route along the coast of Hancock County.
  • B. SR 181
    SR 181 is a state highway in Maine that serves as a regional connector route through Hancock County.
  • C. SR 188
    SR 188 is a state highway in Ohio that connects several communities in the central part of the state.
  • D. SR 188
    SR 188 is a short California state highway that connects the city of Tecate to the U.S.–Mexico border in San Diego County.
  • E. SR 180
    SR 180 is a state highway designation used for specific numbered routes within a U.S. state's 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07e355881908a2e75ccff4f0590 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf1987b3481909f3f34f07e365e66 completed May 8, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69fdf1f0a1dc819095871520f3023452 completed May 8, 2026, 2:23 p.m.
Created at: April 10, 2026, 1:28 a.m.