Triple

T13647299
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 179 E326136 entity
Predicate abbreviation P43 FINISHED
Object SR 179
SR 179 is a state highway in Maine that runs through Hancock County, connecting rural communities and providing access to nearby lakes and forests.
E1056151 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 179 | Statement: [Maine State Route 179, abbreviation, SR 179]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 179
Context triple: [Maine State Route 179, abbreviation, SR 179]
  • A. SR 119
    SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
  • B. SR 170
    SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • C. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • D. SR 172
    SR 172 is a state highway in Maine that connects the coastal communities of Blue Hill and Ellsworth.
  • E. SR 171
    SR 171 is a state highway in Maine that serves as a local connector route within the 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 179
Triple: [Maine State Route 179, abbreviation, SR 179]
Generated description
SR 179 is a state highway in Maine that runs through Hancock County, connecting rural communities and providing access to nearby lakes and forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 179
Target entity description: SR 179 is a state highway in Maine that runs through Hancock County, connecting rural communities and providing access to nearby lakes and forests.
  • A. SR 119
    SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
  • B. SR 170
    SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • C. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • D. SR 172
    SR 172 is a state highway in Maine that connects the coastal communities of Blue Hill and Ellsworth.
  • E. SR 171
    SR 171 is a state highway in Maine that serves as a local connector route within the 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943610488190838719ad31207c52 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7955fce288190a7e426f467517a91 completed May 3, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7996cddf08190973e493fb788ce7a completed May 3, 2026, 6:52 p.m.
Created at: April 9, 2026, 9:52 p.m.