Triple

T10849894
Position Surface form Disambiguated ID Type / Status
Subject Zoombezi Bay E256116 entity
Predicate replaced P101 FINISHED
Object Wyandot Lake E1097441 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: Wyandot Lake | Statement: [Zoombezi Bay, replaced, Wyandot Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyandot Lake
Context triple: [Zoombezi Bay, replaced, Wyandot Lake]
  • A. Wyandot Lake chosen
    Wyandot Lake was a former amusement and water park in the Columbus, Ohio area that later became part of the Zoombezi Bay water park complex.
  • B. Vandercook Lake
    Vandercook Lake is a small inland lake and surrounding community area located near the city of Jackson in south-central Michigan.
  • C. Kinderhook Lake
    Kinderhook Lake is a small lakeside hamlet and recreational area in the town of Kinderhook in Columbia County, New York.
  • D. Ward's Lake
    Ward's Lake is a picturesque artificial lake and popular leisure spot in Shillong, Meghalaya, known for its landscaped gardens, walking paths, and boating.
  • E. Belleville Lake
    Belleville Lake is a large man-made reservoir in Wayne County, Michigan, popular for boating, fishing, and other recreational activities.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:20 p.m.