Triple

T22528602
Position Surface form Disambiguated ID Type / Status
Subject Jalna E556970 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Aurangabad 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: Aurangabad Airport | Statement: [Jalna, hasNearbyAirport, Aurangabad Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurangabad Airport
Context triple: [Jalna, hasNearbyAirport, Aurangabad Airport]
  • A. Aurangabad Airport chosen
    Aurangabad Airport is a domestic airport in Maharashtra, India, serving the city of Aurangabad and providing air connectivity to major Indian destinations.
  • B. Solapur Airport
    Solapur Airport is a domestic airport in Maharashtra, India, serving the city of Solapur and nearby regions including pilgrimage centers such as Tuljapur.
  • C. Shirdi Airport
    Shirdi Airport is a regional airport in Maharashtra, India, serving the pilgrimage town of Shirdi and providing air connectivity for devotees visiting the Sai Baba temple.
  • 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. Baramati Airport
    Baramati Airport is a small regional airport in Baramati, Maharashtra, primarily used for general aviation, pilot training, and limited domestic operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed4d4608190ba93bb54f15334a5 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.