Triple

T14292050
Position Surface form Disambiguated ID Type / Status
Subject Vallejo–San Francisco route E354337 entity
Predicate connectsCity P4245 FINISHED
Object Vallejo E28332 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: Vallejo | Statement: [Vallejo–San Francisco route, connectsCity, Vallejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallejo
Context triple: [Vallejo–San Francisco route, connectsCity, Vallejo]
  • A. Vallejo
    Vallejo is a Spanish-origin surname borne by various notable individuals across politics, arts, and sports in Spanish-speaking countries.
  • B. 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.
  • C. Vallejo
    Vallejo is a metro station in Mexico City that serves passengers on Line 6 of the city’s rapid transit system.
  • 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 (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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb9947481909cd16aa1d719fbe5 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:11 a.m.