Triple

T13628270
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 178 E325644 entity
Predicate abbreviation P43 FINISHED
Object ME 178
ME 178 is a state highway in Maine that serves as a regional connector route between communities in the eastern part of the state.
E1051254 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 178 | Statement: [Maine State Route 178, abbreviation, ME 178]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ME 178
Context triple: [Maine State Route 178, abbreviation, ME 178]
  • A. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • B. ME 171
    ME 171 is a state highway in Maine that serves as a local connector route within the state's road network.
  • C. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • E. ME 175
    ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • 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 178
Triple: [Maine State Route 178, abbreviation, ME 178]
Generated description
ME 178 is a state highway in Maine that serves as a regional connector route between communities in the eastern part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ME 178
Target entity description: ME 178 is a state highway in Maine that serves as a regional connector route between communities in the eastern part of the state.
  • A. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • B. ME 171
    ME 171 is a state highway in Maine that serves as a local connector route within the state's road network.
  • C. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • E. ME 175
    ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa895f081908f72a0746afeabed completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:51 p.m.