Triple

T3133931
Position Surface form Disambiguated ID Type / Status
Subject Santa Clara Valley E65481 entity
Predicate contains P35 FINISHED
Object Gilroy E39931 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: Gilroy | Statement: [Santa Clara Valley, contains, Gilroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilroy
Context triple: [Santa Clara Valley, contains, Gilroy]
  • A. Gilroy chosen
    Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
  • B. San Luis Obispo
    San Luis Obispo is a small coastal city in California known for its historic downtown, nearby beaches and wineries, and its location along the scenic Highway 1 between Los Angeles and San Francisco.
  • C. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • D. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • E. Corte Madera
    Corte Madera is a small, affluent town in the San Francisco Bay Area known for its residential neighborhoods, open space preserves, and upscale shopping centers.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada56104ec8190a14591ed73f3fe83 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f84d8288190b1f48fa0f5c10773 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.