Triple

T20421675
Position Surface form Disambiguated ID Type / Status
Subject Chino Valley Unified School District E500867 entity
Predicate servesCity P82 FINISHED
Object Chino 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: Chino | Statement: [Chino Valley Unified School District, servesCity, Chino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chino
Context triple: [Chino Valley Unified School District, servesCity, Chino]
  • A. Chino chosen
    Chino is a city in Southern California known for its agricultural roots, suburban communities, and proximity to major Inland Empire transportation corridors.
  • B. Chinautla
    Chinautla is a municipality in Guatemala known for its significant Poqomam Maya population and preservation of indigenous cultural traditions.
  • C. Chico
    Chico is the impulsive young gunfighter who joins the group of hired protectors in the classic Western film "The Magnificent Seven" (1960).
  • D. Chico
    Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
  • E. Chico
    Chico is the optimistic Parisian sewer worker who becomes the central romantic lead in the silent film "Seventh Heaven" (1927).
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba479008190bf6d31ee79f3a401 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.