Triple

T14453045
Position Surface form Disambiguated ID Type / Status
Subject VASU E358383 entity
Predicate associatedWithAirport P6864 FINISHED
Object Surat Airport E73133 NE 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: Surat Airport | Statement: [VASU, associatedWithAirport, Surat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surat Airport
Context triple: [VASU, associatedWithAirport, Surat Airport]
  • A. Surat Airport chosen
    Surat Airport is a domestic and international airport serving the city of Surat in the Indian state of Gujarat.
  • B. Vadodara Airport
    Vadodara Airport is a domestic airport in the city of Vadodara, India, serving as one of the key air transport hubs in the state of Gujarat.
  • C. Nagpur Airport
    Nagpur Airport is a major international airport in Nagpur, Maharashtra, serving as a key aviation hub for central India.
  • D. Nashik Airport
    Nashik Airport is a regional airport serving the city of Nashik in Maharashtra, India, handling domestic flights and supporting both civilian and defense aviation activities.
  • E. Chhatrapati Sambhaji Maharaj Airport
    Chhatrapati Sambhaji Maharaj Airport is a domestic airport serving the city of Aurangabad in Maharashtra, India, providing air connectivity to regional and major Indian destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916244948190bb09d1bfc485ba50 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7543f88190ac336c75188eb00a completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:19 a.m.