Triple

T12466976
Position Surface form Disambiguated ID Type / Status
Subject Maharana Pratap Airport E297947 entity
Predicate alsoKnownAs P39 FINISHED
Object Udaipur Airport E297947 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: Udaipur Airport | Statement: [Maharana Pratap Airport, alsoKnownAs, Udaipur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udaipur Airport
Context triple: [Maharana Pratap Airport, alsoKnownAs, Udaipur Airport]
  • A. Jodhpur Airport
    Jodhpur Airport is a domestic airport in Jodhpur, Rajasthan, India, serving as a key air gateway to the city and surrounding region.
  • B. Maharana Pratap Airport chosen
    Maharana Pratap Airport is the main domestic airport serving the city of Udaipur in the Indian state of Rajasthan.
  • C. Jabalpur Airport
    Jabalpur Airport is a domestic airport in Madhya Pradesh, India, serving the city of Jabalpur and its surrounding region.
  • D. 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.
  • E. 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.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db979c481908778188794b2c08e completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1f44f481909c7efdffd2aeac41 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.