Triple

T21096447
Position Surface form Disambiguated ID Type / Status
Subject Calero Creek E519779 entity
Predicate locatedIn P40 FINISHED
Object San Jose, California — 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: San Jose, California | Statement: [Calero Creek, locatedIn, San Jose, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jose, California
Context triple: [Calero Creek, locatedIn, San Jose, California]
  • A. San Jose, California chosen
    San Jose, California is a major Silicon Valley city in the San Francisco Bay Area known for its tech industry, suburban sprawl, and role as a cultural and economic hub of Northern California.
  • B. San Jose, California
    San Jose, California is a major Silicon Valley city in Northern California known for its tech industry, diverse population, and role as an economic and cultural hub of the region.
  • C. San Jose, California
    San Jose, California is a major Silicon Valley city in the San Francisco Bay Area, known as a global center for technology and innovation.
  • D. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • E. San Jose
    San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b595cdc8190ba7a6f3f71d40c3f completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.