Triple

T19059123
Position Surface form Disambiguated ID Type / Status
Subject Gulbarga E466477 entity
Predicate hasAirport P105 FINISHED
Object Kalaburagi 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: Kalaburagi Airport | Statement: [Gulbarga, hasAirport, Kalaburagi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalaburagi Airport
Context triple: [Gulbarga, hasAirport, Kalaburagi Airport]
  • A. Kalaburagi Airport chosen
    Kalaburagi Airport is a domestic airport serving the city of Kalaburagi in Karnataka, India, providing regional air connectivity to the area.
  • B. Vijayawada Airport
    Vijayawada Airport is a domestic and international airport serving the city of Vijayawada and the surrounding region in the Indian state of Andhra Pradesh.
  • C. Baramati Airport
    Baramati Airport is a small regional airport in Baramati, Maharashtra, primarily used for general aviation, pilot training, and limited domestic operations.
  • D. Belagavi Airport
    Belagavi Airport is a domestic airport in Karnataka, India, serving the city of Belagavi and its surrounding region with scheduled commercial flights.
  • E. Kurnool Airport
    Kurnool Airport is a regional airport serving the city of Kurnool in Andhra Pradesh, India, providing domestic air connectivity to the surrounding region.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.