Triple

T10001093
Position Surface form Disambiguated ID Type / Status
Subject Benbrook, Texas E197326 entity
Predicate hasWaterBody P165 FINISHED
Object Benbrook Lake E964795 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: Benbrook Lake | Statement: [Benbrook, Texas, hasWaterBody, Benbrook Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benbrook Lake
Context triple: [Benbrook, Texas, hasWaterBody, Benbrook Lake]
  • A. Benbrook Lake chosen
    Benbrook Lake is a man-made reservoir in North Texas popular for fishing, boating, and other outdoor recreation.
  • B. White Rock Lake
    White Rock Lake is a large urban reservoir and popular recreational area in east Dallas, Texas, known for its scenic trails, wildlife, and views of the city.
  • C. Forney Lake
    Forney Lake is the former name of Lake Ray Hubbard, a large reservoir in North Texas used for water supply and recreation.
  • D. Willisville Lake
    Willisville Lake is a scenic freshwater lake in Ontario, Canada, known for its rugged La Cloche Mountains backdrop and popular canoeing and cottage recreation.
  • E. Silverwood Lake
    Silverwood Lake is a man-made reservoir in the San Bernardino Mountains of Southern California, popular for recreation and serving as a key storage and distribution point in the State Water Project.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8f50888190b2f1c5240cb58e4f completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4d8a3481909c7f8a529d0051c2 completed May 2, 2026, 2:29 p.m.
Created at: March 30, 2026, 8:51 p.m.