Triple

T25682816
Position Surface form Disambiguated ID Type / Status
Subject VOTR E643985 entity
Predicate associatedWithRunwayOperations P105006 FINISHED
Object Tiruchirappalli International Airport NE NERFINISHED

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: Tiruchirappalli International Airport | Statement: [VOTR, associatedWithRunwayOperations, Tiruchirappalli International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithRunwayOperations
Context triple: [VOTR, associatedWithRunwayOperations, Tiruchirappalli International Airport]
  • A. associatedWithRunways chosen
    Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
  • B. hasRunwayOperations
    Indicates that an entity conducts or is involved in operational activities on an airport runway, such as takeoffs, landings, or related ground movements.
  • C. isCodeForRunwayOperationsAt
    Indicates that a given code designates or is used to identify runway operations at a specific location or airport.
  • D. isIntersectingRunwayWith
    Indicates that one runway crosses or overlaps with another runway at some point along their lengths.
  • E. runwayUsage
    Indicates that a particular runway is being used or assigned for aircraft operations such as takeoffs or landings.
  • 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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fd783fed9c81909e792702636c4f1f completed May 8, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69fd7788e63c81909de22fdafcfe41c0 completed May 8, 2026, 5:41 a.m.
Created at: April 21, 2026, 8:03 p.m.