Triple

T10950700
Position Surface form Disambiguated ID Type / Status
Subject EDDH E258717 entity
Predicate hasRunway05_23LengthMeters P6291 FINISHED
Object 3666 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: 3666 | Statement: [EDDH, hasRunway05_23LengthMeters, 3666]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRunway05_23LengthMeters
Context triple: [EDDH, hasRunway05_23LengthMeters, 3666]
  • A. runwayLength chosen
    Indicates the length of a runway associated with an airport or airfield.
  • B. runwayWidth
    Indicates the measured width of a runway as a spatial dimension.
  • C. hasRunwayLengthCategory
    Indicates that an airport or airfield is associated with a specific categorical range of runway lengths (e.g., short, medium, long).
  • D. runwayLengthUnit
    Indicates the unit of measurement used to express the length of a runway in the relationship.
  • E. hasRunwayType
    Indicates that an airport or airfield has a runway of a specified type or surface classification.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ed2f1c819081ec58457f57889d completed April 9, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.