Triple

T14374141
Position Surface form Disambiguated ID Type / Status
Subject Edifice Racing series E356431 entity
Predicate brand P1500 FINISHED
Object Edifice E72297 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: Edifice | Statement: [Edifice Racing series, brand, Edifice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edifice
Context triple: [Edifice Racing series, brand, Edifice]
  • A. Edifice chosen
    Edifice is a line of Casio wristwatches known for their sporty, sophisticated designs and advanced chronograph and technology features.
  • B. Building A
    Building A is a major warehouse and industrial structure within the historic Brooklyn Army Terminal complex in Brooklyn, New York.
  • C. Building A
    Building A is one of the main exhibition and convention halls within the Georgia World Congress Center complex in Atlanta, Georgia.
  • D. Buildings
    "Buildings" is a historical work by the 6th-century Byzantine scholar Procopius that details the construction projects and architectural achievements of Emperor Justinian I’s reign.
  • E. Building B
    Building B is one of the main exhibition and convention halls within the Georgia World Congress Center complex in Atlanta, Georgia.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.