Triple

T15551530
Position Surface form Disambiguated ID Type / Status
Subject Horse Mesa Dam E370754 entity
Predicate reservoirName P13043 FINISHED
Object Apache Lake E408675 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: Apache Lake | Statement: [Horse Mesa Dam, reservoirName, Apache Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apache Lake
Context triple: [Horse Mesa Dam, reservoirName, Apache Lake]
  • A. Apache Lake chosen
    Apache Lake is a reservoir in central Arizona popular for boating, fishing, and scenic desert canyon views along the Salt River.
  • B. Walker Lake
    Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
  • C. Lake J. B. Thomas
    Lake J. B. Thomas is a man-made reservoir in West Texas used primarily for water supply, recreation, and fishing.
  • D. Lake Mitchell
    Lake Mitchell is a popular recreational lake in Wexford County, Michigan, known for boating, fishing, and its connection to nearby Lake Cadillac.
  • E. Wilson Lake
    Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875bb0808190a6a4e3b47b524689 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:08 a.m.