Triple

T23319260
Position Surface form Disambiguated ID Type / Status
Subject Portolá district of San Francisco E590800 entity
Predicate near P350 FINISHED
Object McLaren Park — 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: McLaren Park | Statement: [Portolá district of San Francisco, near, McLaren Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McLaren Park
Context triple: [Portolá district of San Francisco, near, McLaren Park]
  • A. McLaren Park chosen
    McLaren Park is a large public park in southeastern San Francisco known for its natural open spaces, trails, and recreational facilities.
  • B. Albert Park
    Albert Park is a historic public park in central Auckland, New Zealand, known for its Victorian-era landscaping, statues, and city views.
  • C. Albert Park
    Albert Park is a prominent public park and sports ground in central Suva, Fiji, known for hosting major civic events, cricket and rugby matches, and national celebrations.
  • D. Albert Park
    Albert Park is a public urban park in Middlesbrough, England, known for its recreational facilities, green spaces, and community events.
  • E. Albert Park
    Albert Park is a residential suburb in Adelaide, South Australia, known for its quiet streets and proximity to the city’s western beaches.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978372948190bad066893c4e0768 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.