Triple

T11583455
Position Surface form Disambiguated ID Type / Status
Subject Interlochen E274688 entity
Predicate locatedNear P294 FINISHED
Object Traverse City E9222 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: Traverse City | Statement: [Interlochen, locatedNear, Traverse City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traverse City
Context triple: [Interlochen, locatedNear, Traverse City]
  • A. Traverse City, Michigan chosen
    Traverse City, Michigan is a popular northern Michigan destination known for its cherry production, vibrant downtown, and outdoor recreation along the shores of Grand Traverse Bay.
  • B. Saginaw
    Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
  • C. Saginaw
    Saginaw is a residential suburb located within the greater Dallas urban area.
  • D. Harbor Springs
    Harbor Springs is a small resort town on the shores of Lake Michigan known for its scenic harbor, historic charm, and year-round outdoor recreation.
  • E. Augusta, Michigan
    Augusta, Michigan is a small village in southwestern Michigan known for its rural character and proximity to the city of Kalamazoo.
  • 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_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 8, 2026, 9:38 p.m.