Triple

T7891183
Position Surface form Disambiguated ID Type / Status
Subject Juancho E. Yrausquin Airport E183236 entity
Predicate isFamousAs P52554 FINISHED
Object one of the most dangerous airports for landings 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 most dangerous airports for landings | Statement: [Juancho E. Yrausquin Airport, isFamousAs, one of the most dangerous airports for landings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFamousAs
Context triple: [Juancho E. Yrausquin Airport, isFamousAs, one of the most dangerous airports for landings]
  • A. fameFor chosen
    Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
  • B. organFamousFor
    Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
  • C. formerlyKnownFor
    Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
  • D. celebratedAs
    Indicates that one entity is regarded, honored, or widely recognized as having a particular role, status, or distinction.
  • E. reconocidaPor
    Indicates that an entity is recognized, acknowledged, or honored by another entity.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ee137081908e87e35016c3a176 completed March 31, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69cae92b0cd881908e715a10d3252e83 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5 p.m.