Triple

T5852647
Position Surface form Disambiguated ID Type / Status
Subject Bhavnagar E130072 entity
Predicate hasAirport P105 FINISHED
Object Bhavnagar Airport E547964 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: Bhavnagar Airport | Statement: [Bhavnagar, hasAirport, Bhavnagar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhavnagar Airport
Context triple: [Bhavnagar, hasAirport, Bhavnagar Airport]
  • A. Bhavnagar airport chosen
    Bhavnagar Airport is a domestic airport in Gujarat, India, serving the city of Bhavnagar and its surrounding region with scheduled commercial flights.
  • 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. Rajkot Airport
    Rajkot Airport is a domestic airport serving the city of Rajkot and surrounding regions in the Indian state of Gujarat.
  • D. Kolhapur Airport
    Kolhapur Airport is a regional airport in Maharashtra, India, serving the city of Kolhapur and its surrounding areas with domestic air connectivity.
  • E. Jabalpur Airport
    Jabalpur Airport is a domestic airport in Madhya Pradesh, India, serving the city of Jabalpur and its surrounding region.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1007bbc81908963d3d14c9210c5 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.