Triple

T30126340
Position Surface form Disambiguated ID Type / Status
Subject EGKB E765704 entity
Predicate runway11/29LengthMetres P6291 FINISHED
Object 792 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: 792 | Statement: [EGKB, runway11/29LengthMetres, 792]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: runway11/29LengthMetres
Context triple: [EGKB, runway11/29LengthMetres, 792]
  • A. runway11_29Use
    Indicates that runway 11/29 is being used for aircraft operations such as takeoffs or landings.
  • B. runwayLength chosen
    Indicates the length of a runway associated with an airport or airfield.
  • C. runwayWidth
    Indicates the measured width of a runway as a spatial dimension.
  • D. runway
    Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
  • E. runwayUsedAs
    Indicates that a particular runway is being utilized for a specific purpose, role, or operational function.
  • 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_69f2247716748190ae4f16998f49ddf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 29, 2026, 7:14 p.m.