Triple

T15462684
Position Surface form Disambiguated ID Type / Status
Subject Chitwan District E371941 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object Bharatpur Airport E1161381 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: Bharatpur Airport | Statement: [Chitwan District, hasTransportInfrastructure, Bharatpur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bharatpur Airport
Context triple: [Chitwan District, hasTransportInfrastructure, Bharatpur Airport]
  • A. Bharatpur Airport chosen
    Bharatpur Airport is a domestic airport in Bharatpur, Nepal, serving as a key air gateway for tourists visiting nearby Chitwan National Park and the town of Sauraha.
  • B. Naini Saini Airport
    Naini Saini Airport is a regional airport serving the town of Pithoragarh in the hilly state of Uttarakhand, India.
  • C. Bilasa Devi Kevat Airport
    Bilasa Devi Kevat Airport is a regional domestic airport serving the city of Bilaspur in the Indian state of Chhattisgarh.
  • D. Maharana Pratap Airport
    Maharana Pratap Airport is the main domestic airport serving the city of Udaipur in the Indian state of Rajasthan.
  • E. Kishangarh Airport
    Kishangarh Airport is a domestic airport in Rajasthan, India, serving the city of Ajmer and the nearby pilgrimage town of Pushkar.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4549074481908c12045632f11941 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:32 a.m.