Triple

T16097638
Position Surface form Disambiguated ID Type / Status
Subject Judge Joe Brown E390527 entity
Predicate filmingLocation P40 FINISHED
Object Los Angeles California E715 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: [Judge Joe Brown, filmingLocation, Los Angeles California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles California
Context triple: [Judge Joe Brown, filmingLocation, Los Angeles California]
  • A. Los Angeles chosen
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • B. Los Ángeles
    Los Ángeles is a mid-sized Chilean city known as an important commercial and agricultural center in the south-central part of the country.
  • C. LA
    LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • D. LA
    LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec4d9808190a3d1bfc8f3d73168 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 4:59 a.m.