Triple

T26324
Position Surface form Disambiguated ID Type / Status
Subject American Airlines E526 entity
Predicate marketPosition P1850 FINISHED
Object one of the largest airlines in the world by fleet size 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: one of the largest airlines in the world by fleet size | Statement: [American Airlines, marketPosition, one of the largest airlines in the world by fleet size]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marketPosition
Context triple: [American Airlines, marketPosition, one of the largest airlines in the world by fleet size]
  • A. positionHeld
    Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
  • B. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • C. isMostTradedCurrency
    Indicates that a currency is the one with the highest trading volume or frequency in a given market or context.
  • D. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • E. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • F. None of above. chosen

Provenance (4 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a247798a348190bb943d38300ae3ef completed Feb. 28, 2026, 1:40 a.m.
PD Predicate disambiguation batch_69a24658749881909117b007ec3d8633 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a24778b73c81908e9f2eb8cdbcef73 completed Feb. 28, 2026, 1:40 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.