Triple

T9815965
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 132 E238404 entity
Predicate abbreviation P43 FINISHED
Object SR 132
SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
 E823385 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 132 | Statement: [Maine State Route 132, abbreviation, SR 132]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 132
Context triple: [Maine State Route 132, abbreviation, SR 132]
  • A. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • B. 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.
  • C. 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.
  • D. SR 134
    SR 134 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • E. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
  • 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 132
Triple: [Maine State Route 132, abbreviation, SR 132]
Generated description
SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 132
Target entity description: SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • A. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • B. 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.
  • C. 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.
  • D. SR 134
    SR 134 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • E. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.