Triple

T13011768
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 177 E322431 entity
Predicate abbreviation P43 FINISHED
Object ME 177
ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
E1015454 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 177 | Statement: [Maine State Route 177, abbreviation, ME 177]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ME 177
Context triple: [Maine State Route 177, abbreviation, ME 177]
  • A. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • B. ME 167
    ME 167 is a state highway in Maine that serves as a regional connector route within the state's road network.
  • C. ME 160
    ME 160 is a state highway in Maine that runs through rural areas of York and Oxford counties, connecting several small towns.
  • D. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • 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 177
Triple: [Maine State Route 177, abbreviation, ME 177]
Generated description
ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ME 177
Target entity description: ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • A. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • B. ME 167
    ME 167 is a state highway in Maine that serves as a regional connector route within the state's road network.
  • C. ME 160
    ME 160 is a state highway in Maine that runs through rural areas of York and Oxford counties, connecting several small towns.
  • D. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10d5b9881909db688c1ab0e6a77 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c277e6248190870b3bf9869716a7 completed May 3, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69f6c38bc0b08190b76cb0853d99ad82 completed May 3, 2026, 3:39 a.m.
Created at: April 9, 2026, 8:49 p.m.