Triple

T9510851
Position Surface form Disambiguated ID Type / Status
Subject Inglewood E229387 entity
Predicate hasLandmark P105 FINISHED
Object The Forum (Kia Forum) E279593 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: The Forum (Kia Forum) | Statement: [Inglewood, hasLandmark, The Forum (Kia Forum)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Forum (Kia Forum)
Context triple: [Inglewood, hasLandmark, The Forum (Kia Forum)]
  • A. Kia Forum chosen
    Kia Forum is a renowned indoor arena in Inglewood, California, best known for hosting major concerts and professional sports events.
  • B. Carcar City
    Carcar City is a component city in the southern part of Cebu province in the Philippines, known for its heritage houses and local delicacies such as chicharrón.
  • C. Kia Rio
    The Kia Rio is a subcompact car produced by South Korean automaker Kia, known for its affordability, fuel efficiency, and practicality for city driving.
  • D. Kia Forte
    The Kia Forte is a compact sedan (and hatchback in some markets) known for its value-oriented pricing, modern styling, and generous standard features.
  • E. Terminal 4S
    Terminal 4S is the satellite terminal of Madrid’s Adolfo Suárez Madrid–Barajas Airport, primarily serving international and long-haul flights with modern, high-capacity facilities.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a37c7ec8190a24ae0eec76b4f67 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.