Triple

T19183576
Position Surface form Disambiguated ID Type / Status
Subject Loakan Airport E469638 entity
Predicate hasApproachCharacteristics P100986 FINISHED
Object challenging terrain 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: challenging terrain | Statement: [Loakan Airport, hasApproachCharacteristics, challenging terrain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproachCharacteristics
Context triple: [Loakan Airport, hasApproachCharacteristics, challenging terrain]
  • A. hasApproachFeature chosen
    Indicates that something possesses a characteristic, element, or quality specifically related to its method, strategy, or manner of approach.
  • B. hasApproachType
    Indicates the specific method, strategy, or manner in which an action, process, or interaction is carried out or approached.
  • C. hasApproachStructure
    Indicates that one entity possesses or includes an approach structure that provides access or a path leading to another entity.
  • D. hasApproachTrail
    Indicates that there is a designated trail or path providing access or approach to a particular location or feature.
  • E. hasApproachSide
    Indicates that one entity has a particular side or direction from which another entity can approach or access it.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61e1c248190ba9e220c1be61ef8 completed April 20, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69e4b9bb158481909478ca2e06f3ba39 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:07 p.m.