Triple

T13335604
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 175 E317683 entity
Predicate abbreviation P43 FINISHED
Object ME 175
ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
 E1035505 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 175 | Statement: [Maine State Route 175, abbreviation, ME 175]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 175
Context triple: [Maine State Route 175, abbreviation, ME 175]
  • A. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • C. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • D. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • E. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in 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: ME 175
Triple: [Maine State Route 175, abbreviation, ME 175]
Generated description
ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 175
Target entity description: ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • A. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • C. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • D. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • E. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:30 p.m.