Triple

T666014
Position Surface form Disambiguated ID Type / Status
Subject Runway 07R/25L E12862 entity
Predicate locatedIn P40 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: [Runway 07R/25L, locatedIn, Los Angeles, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles, California
Context triple: [Runway 07R/25L, locatedIn, 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd4f4988190a0973ceb7329b4c9 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69add197c5248190ae37a11693975f97 completed March 8, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:36 p.m.