Triple

T14285527
Position Surface form Disambiguated ID Type / Status
Subject Transportes Aéreos del Continente Americano E354163 entity
Predicate ICAOcode P419 FINISHED
Object TAI E354162 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: TAI | Statement: [Transportes Aéreos del Continente Americano, ICAOcode, TAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAI
Context triple: [Transportes Aéreos del Continente Americano, ICAOcode, TAI]
  • A. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • B. TAI chosen
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • C. Tai
    Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
  • D. Tai
    Tai is a major language family of Southeast Asia that includes languages such as Thai and Lao, spoken by tens of millions of people across the region.
  • E. TaiK
    TaiK is the former abbreviation for the University of Art and Design Helsinki, a prominent Finnish institution specializing in art, design, and media education and research.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1c4d988190b595e6a33ef96c28 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.