Triple

T5170371
Position Surface form Disambiguated ID Type / Status
Subject Firebaugh E116661 entity
Predicate near P350 FINISHED
Object Mendota E144487 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: Mendota | Statement: [Firebaugh, near, Mendota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendota
Context triple: [Firebaugh, near, Mendota]
  • A. Mendota chosen
    Mendota is a small agricultural city in California’s San Joaquin Valley known for its farming and rural character.
  • B. Mendota
    Mendota is a small historic city in Minnesota known for its early fur trade significance and location near the meeting point of the Minnesota and Mississippi Rivers.
  • C. Mendota Pool
    Mendota Pool is a key water storage and distribution reservoir in California’s Central Valley that serves as a major junction for irrigation and water conveyance systems.
  • D. Sisseton
    Sisseton are one of the traditional bands of the Dakota people, historically associated with the eastern plains and woodlands of what is now the Upper Midwest of the United States.
  • E. Onalaska
    Onalaska is a city in western Wisconsin, United States, located along the Mississippi River just north of La Crosse.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794f44248190a3a90c92208104a7 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9439ec881909021973aa5395e4f completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.