Triple

T172490
Position Surface form Disambiguated ID Type / Status
Subject AA E3505 entity
Predicate hasICAOCompanionCode P419 FINISHED
Object AAL LITERAL 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: AAL | Statement: [AA, hasICAOCompanionCode, AAL]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasICAOCompanionCode
Context triple: [AA, hasICAOCompanionCode, AAL]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. ICAOcode chosen
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. hasFourLetterCode
    Indicates that an entity is associated with a code consisting of exactly four characters.
  • E. FAAcode
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • F. None of above.

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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25a3f9d188190aacf5791273e2c65 completed Feb. 28, 2026, 3 a.m.
PD Predicate disambiguation batch_69a25667717c8190bac5108366e2178d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.