Triple

T8966404
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 117 E214145 entity
Predicate abbreviation P43 FINISHED
Object SR 117
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
 E769855 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 117 | Statement: [Maine State Route 117, abbreviation, SR 117]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 117
Context triple: [Maine State Route 117, abbreviation, SR 117]
  • A. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • B. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • C. SR 111
    SR 111 is a state highway in Maine that runs east–west, connecting the city of Biddeford to the town of Alfred and serving as an important regional route in York County.
  • D. SR 112
    SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. SR 167
    SR 167 is a state highway designation used for specific numbered routes within a U.S. state's transportation system.
  • 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 117
Triple: [Maine State Route 117, abbreviation, SR 117]
Generated description
SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 117
Target entity description: SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
  • A. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • B. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • C. SR 111
    SR 111 is a state highway in Maine that runs east–west, connecting the city of Biddeford to the town of Alfred and serving as an important regional route in York County.
  • D. SR 112
    SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. SR 167
    SR 167 is a state highway designation used for specific numbered routes within a U.S. state's transportation system.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67623818819096aee155a9b43e8f completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95879c08190b0091548c8c00207 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb42e6ec8190b126163bf4472986 completed April 3, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69cfcbba82e88190b40e9721c835fff0 completed April 3, 2026, 2:16 p.m.
Created at: March 30, 2026, 7:01 p.m.