Triple

T22633848
Position Surface form Disambiguated ID Type / Status
Subject City of San Diego Lifeguard Service E558625 entity
Predicate operatesIn P82 FINISHED
Object Mission Bay 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: Mission Bay | Statement: [City of San Diego Lifeguard Service, operatesIn, Mission Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mission Bay
Context triple: [City of San Diego Lifeguard Service, operatesIn, Mission Bay]
  • A. Mission Bay
    Mission Bay is a major University of California, San Francisco campus and research hub in San Francisco known for its focus on biomedical sciences and biotechnology.
  • B. Mission Bay chosen
    Mission Bay is a coastal recreational area in San Diego known for its large aquatic park, beaches, and water sports.
  • C. Mission Bay
    Mission Bay is a popular seaside suburb of Auckland, New Zealand, known for its sandy beach, waterfront promenade, and views of Rangitoto Island.
  • D. Alamo Bay
    Alamo Bay is a 1985 American drama film that explores racial tensions and conflict in a Texas Gulf Coast fishing community.
  • E. Mission Bay, San Francisco
    Mission Bay, San Francisco is a rapidly developing waterfront neighborhood on the city’s eastern side, known for its biotechnology hub, UCSF campus, and modern residential and commercial complexes.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700be10c8190830393fdbec1033d completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:03 p.m.