Triple

T12586177
Position Surface form Disambiguated ID Type / Status
Subject M-43 E300467 entity
Predicate passesThrough P225 FINISHED
Object Charlotte, Michigan E527012 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: Charlotte, Michigan | Statement: [M-43, passesThrough, Charlotte, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte, Michigan
Context triple: [M-43, passesThrough, Charlotte, Michigan]
  • A. Charlotte, Michigan chosen
    Charlotte, Michigan is a small city in south-central Michigan known as the governmental and commercial hub of Eaton County.
  • B. Atlanta, Michigan
    Atlanta, Michigan is a small unincorporated community in northern Michigan known for its outdoor recreation and role as the administrative center of Montmorency County.
  • C. Chelsea, Michigan
    Chelsea, Michigan is a small city in southeastern Michigan known for its historic downtown, arts and cultural scene, and proximity to Ann Arbor.
  • D. Springfield, Michigan
    Springfield, Michigan is a small city in southern Michigan that functions largely as a residential and commercial suburb of nearby Battle Creek.
  • E. Frankfort, Michigan
    Frankfort, Michigan is a small Lake Michigan shoreline city known for its harbor, beaches, and role as a regional tourism and fishing hub in northwestern Michigan.
  • 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_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 9, 2026, 5:05 p.m.