Triple

T21749072
Position Surface form Disambiguated ID Type / Status
Subject Hubli E536862 entity
Predicate hasAirport P105 FINISHED
Object Hubli 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: Hubli Airport | Statement: [Hubli, hasAirport, Hubli Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubli Airport
Context triple: [Hubli, hasAirport, Hubli Airport]
  • A. Hubballi Airport chosen
    Hubballi Airport is a domestic airport in Hubballi, Karnataka, India, serving the twin cities of Hubballi-Dharwad with regional air connectivity.
  • B. Shivamogga Airport
    Shivamogga Airport is a regional domestic airport serving the city of Shivamogga in the Indian state of Karnataka, enhancing air connectivity for the Malnad region.
  • C. Belagavi Airport
    Belagavi Airport is a domestic airport in Karnataka, India, serving the city of Belagavi and its surrounding region with scheduled commercial flights.
  • D. Mangalore International Airport
    Mangalore International Airport is a major international airport in the Indian state of Karnataka that serves the coastal city of Mangalore and its surrounding region.
  • E. Bidar Airport
    Bidar Airport is a regional airport serving the city of Bidar in the Indian state of Karnataka, primarily handling domestic flights and regional air traffic.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.