Triple

T255685
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Bay Area E5432 entity
Predicate hasMajorCity P316 FINISHED
Object San Mateo E45852 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: San Mateo | Statement: [San Francisco Bay Area, hasMajorCity, San Mateo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Mateo
Context triple: [San Francisco Bay Area, hasMajorCity, San Mateo]
  • A. San Mateo chosen
    San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
  • B. Sunnyvale
    Sunnyvale is a major Silicon Valley city in Northern California known for its high-tech industry presence and suburban residential communities.
  • C. Sunnyvale
    Sunnyvale is a suburban town in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Dallas, Texas.
  • D. Daly City
    Daly City is a suburban city just south of San Francisco in San Mateo County, California, known for its diverse population and role as a major residential and commercial hub in the Bay Area.
  • E. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5669008190978bbd7308be11f7 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad01211c2c8190bc107dae8a9ec2a2 completed March 8, 2026, 4:54 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.