Triple

T688322
Position Surface form Disambiguated ID Type / Status
Subject Annenberg Foundation E13333 entity
Predicate headquartersLocation P62 FINISHED
Object Los Angeles, California E158960 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: Los Angeles, California | Statement: [Annenberg Foundation, headquartersLocation, Los Angeles, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles, California
Context triple: [Annenberg Foundation, headquartersLocation, Los Angeles, California]
  • A. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • B. Los Angeles, California, United States of America chosen
    Los Angeles, California, United States of America is a major West Coast metropolis known as a global center for the entertainment industry, particularly film and television.
  • C. Malibu, California
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • D. LA
    LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • E. LA
    LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02eda1048190b5452b849315863f completed March 8, 2026, 11:14 p.m.
Created at: March 1, 2026, 7:36 p.m.