Triple

T23049869
Position Surface form Disambiguated ID Type / Status
Subject Benicia State Recreation Area E573977 entity
Predicate nearbyCity P350 FINISHED
Object Vallejo 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: Vallejo | Statement: [Benicia State Recreation Area, nearbyCity, Vallejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallejo
Context triple: [Benicia State Recreation Area, nearbyCity, Vallejo]
  • A. Vallejo chosen
    Vallejo is a waterfront city in the San Francisco Bay Area known for its former Mare Island Naval Shipyard and diverse, working-class community.
  • B. Vallejo
    Vallejo is a metro station in Mexico City that serves passengers on Line 6 of the city’s rapid transit system.
  • C. Vallejo
    Vallejo is a Spanish-origin surname borne by various notable individuals across politics, arts, and sports in Spanish-speaking countries.
  • D. San Jose Diridon
    San Jose Diridon is a major intermodal transit hub in San Jose, California, serving Amtrak, commuter rail, light rail, and bus services.
  • E. Santa Cruz
    Santa Cruz is a traditional Brazilian football club based in Recife, Pernambuco, known for its passionate fan base and historic rivalries.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.