Triple

T21625489
Position Surface form Disambiguated ID Type / Status
Subject Wankaner E533688 entity
Predicate nearestAirport P22550 FINISHED
Object Rajkot 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: Rajkot Airport | Statement: [Wankaner, nearestAirport, Rajkot Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajkot Airport
Context triple: [Wankaner, nearestAirport, Rajkot Airport]
  • A. Rajkot Airport chosen
    Rajkot Airport is a domestic airport serving the city of Rajkot and surrounding regions 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. Kolhapur Airport
    Kolhapur Airport is a regional airport in Maharashtra, India, serving the city of Kolhapur and its surrounding areas with domestic air connectivity.
  • D. Bhavnagar airport
    Bhavnagar Airport is a domestic airport in Gujarat, India, serving the city of Bhavnagar and its surrounding region with scheduled commercial flights.
  • E. Kandla Airport
    Kandla Airport is a domestic airport in Gujarat, India, serving the port city of Kandla and the nearby town of Gandhidham.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52121c3c8190b9b4d862ed247c71 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.