Triple

T18248623
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Bay Trail E437021 entity
Predicate passesThrough P225 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: [San Francisco Bay Trail, passesThrough, Vallejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallejo
Context triple: [San Francisco Bay Trail, passesThrough, 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 coastal municipality in the Philippine island province of Marinduque known for its fishing communities and rural island-barangays.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd7fa3708190baefd8d938d20807 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.