Triple

T18533996
Position Surface form Disambiguated ID Type / Status
Subject Lavon Lake E452913 entity
Predicate locatedNear P294 FINISHED
Object Nevada, Texas NE NERFINISHED

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: Nevada, Texas | Statement: [Lavon Lake, locatedNear, Nevada, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevada, Texas
Context triple: [Lavon Lake, locatedNear, Nevada, Texas]
  • A. Nevada, Texas chosen
    Nevada, Texas is a small rural city in Collin County known for its quiet residential character within the Dallas–Fort Worth metropolitan area.
  • B. Nevada
    Nevada is a western U.S. state known for its vast deserts, legalized gambling, and the entertainment hub of Las Vegas.
  • C. Nevada
    Nevada is a small city in western Missouri known as the county seat of Vernon County and for its historic downtown and regional agricultural economy.
  • D. Arizona, Texas
    Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
  • E. Nevada, Iowa
    Nevada, Iowa is a small city in Story County that serves as a residential and commercial hub in central Iowa, near the larger city of Ames.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.