Triple

T1452114
Position Surface form Disambiguated ID Type / Status
Subject Brecqhou E31313 entity
Predicate hasLandingRestrictions P99 FINISHED
Object true 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: true | Statement: [Brecqhou, hasLandingRestrictions, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandingRestrictions
Context triple: [Brecqhou, hasLandingRestrictions, true]
  • A. landingCapability
    Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
  • B. hasLandings
    Indicates that an entity has one or more associated landing events or landing locations.
  • C. hasRunwayAccessVia
    Indicates that an entity has access to a runway by means of a specified connecting route, facility, or intermediary.
  • D. landingDistance
    Indicates the required or actual distance needed for an aircraft or object to complete a landing from approach to full stop.
  • E. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57d34cc8190801b769d9d9b2e2e completed March 1, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69a4c47cdbd0819092022344a2f4ad7b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.