Triple

T16512853
Position Surface form Disambiguated ID Type / Status
Subject IAA E401104 entity
Predicate hasEdition P35 FINISHED
Object IAA Pkw E92051 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: IAA Pkw | Statement: [IAA, hasEdition, IAA Pkw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAA Pkw
Context triple: [IAA, hasEdition, IAA Pkw]
  • A. Frankfurt Motor Show chosen
    The Frankfurt Motor Show is one of the world’s largest and most influential international automotive exhibitions, showcasing new vehicles, technologies, and industry innovations.
  • B. IAA
    IAA is a major international automotive trade show held in Germany, renowned as one of the world’s largest and most influential car exhibitions.
  • C. IAA
    IAA is the acronym commonly used for the Israel Airports Authority, the government body responsible for managing and operating Israel’s civil airports and border crossings.
  • D. IAA
    IAA is the acronym for the Argentine Antarctic Institute, Argentina’s national organization responsible for coordinating and conducting scientific research and activities in Antarctica.
  • E. IAA
    IAA is a major North American auto auction company specializing in the remarketing and sale of total-loss, damaged, and low-value vehicles.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e78d4848190a55de9902115b1b2 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0060827d988190b2c0c075a49dfde8 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.