Triple

T12586175
Position Surface form Disambiguated ID Type / Status
Subject M-43 E300467 entity
Predicate passesThrough P225 FINISHED
Object Hastings, Michigan E691300 NE FINISHED

How this triple was built (2 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: Hastings, Michigan | Statement: [M-43, passesThrough, Hastings, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hastings, Michigan
Context triple: [M-43, passesThrough, Hastings, Michigan]
  • A. Hastings, Michigan chosen
    Hastings, Michigan is a small city in southwestern Michigan known for its historic downtown, community events, and role as a regional service and cultural center.
  • B. Hart, Michigan
    Hart, Michigan is a small city in western Michigan that serves as the administrative and commercial hub of rural Oceana County.
  • C. Hartford, Michigan
    Hartford, Michigan is a small city in southwestern Michigan known for its rural character, agricultural surroundings, and proximity to major regional transportation routes.
  • D. Hopkins, Michigan
    Hopkins, Michigan is a small rural village located in Allegan County in the southwestern part of the state.
  • E. Hanover, Michigan
    Hanover, Michigan is a small rural village in south-central Michigan known for its close-knit community and location within Jackson County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32359c54819098349d7d1c1e454f completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 5:05 p.m.