Triple

T11583283
Position Surface form Disambiguated ID Type / Status
Subject I-696 E274683 entity
Predicate passesThrough P225 FINISHED
Object Warren, Michigan E53992 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: Warren, Michigan | Statement: [I-696, passesThrough, Warren, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren, Michigan
Context triple: [I-696, passesThrough, Warren, Michigan]
  • A. Warren, Michigan chosen
    Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
  • B. Hancock, Michigan
    Hancock, Michigan is a small city in Michigan’s Upper Peninsula known for its rich copper-mining heritage, Finnish-American culture, and proximity to the Keweenaw Peninsula’s historic and natural attractions.
  • C. Hillsdale, Michigan
    Hillsdale, Michigan is a small city and county seat known for its historic downtown and as the home of Hillsdale College.
  • D. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • E. Monroe, Michigan
    Monroe, Michigan is a small city in southeastern Michigan near the western shore of Lake Erie, known for its historic downtown, industrial base, and role in the Battle of Frenchtown during the War of 1812.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904db5748190ae5f10ae86ccdf46 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e10e94819092b71606dbe4f5d5 completed May 11, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:38 p.m.