Triple

T7844816
Position Surface form Disambiguated ID Type / Status
Subject Jodhpur district E181896 entity
Predicate hasAirport P105 FINISHED
Object Jodhpur Airport E181658 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: Jodhpur Airport | Statement: [Jodhpur district, hasAirport, Jodhpur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodhpur Airport
Context triple: [Jodhpur district, hasAirport, Jodhpur Airport]
  • A. Jodhpur Airport chosen
    Jodhpur Airport is a domestic airport in Jodhpur, Rajasthan, India, serving as a key air gateway to the city and surrounding region.
  • B. Jabalpur Airport
    Jabalpur Airport is a domestic airport in Madhya Pradesh, India, serving the city of Jabalpur and its surrounding region.
  • C. Jaipur International Airport
    Jaipur International Airport is the main commercial air gateway to Jaipur and the largest airport in the Indian state of Rajasthan, serving both domestic and international flights.
  • D. Jamnagar Airport
    Jamnagar Airport is a domestic airport in Jamnagar, Gujarat, India, serving as a key regional hub for civilian flights and nearby industrial and defense facilities.
  • E. Maharana Pratap Airport
    Maharana Pratap Airport is the main domestic airport serving the city of Udaipur in the Indian state of Rajasthan.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ae9758c819091e270343ed289aa completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:48 p.m.