Triple

T9705063
Position Surface form Disambiguated ID Type / Status
Subject Nashik Airport E234876 entity
Predicate hasAlternateName P39 FINISHED
Object Nashik Ozar Airport E234876 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: Nashik Ozar Airport | Statement: [Nashik Airport, hasAlternateName, Nashik Ozar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nashik Ozar Airport
Context triple: [Nashik Airport, hasAlternateName, Nashik Ozar Airport]
  • A. Nashik Airport chosen
    Nashik Airport is a regional airport serving the city of Nashik in Maharashtra, India, handling domestic flights and supporting both civilian and defense aviation activities.
  • B. Nagpur Airport
    Nagpur Airport is a major international airport in Nagpur, Maharashtra, serving as a key aviation hub for central India.
  • C. Belagavi Airport
    Belagavi Airport is a domestic airport in Karnataka, India, serving the city of Belagavi and its surrounding region with scheduled commercial flights.
  • D. Raja Bhoj Airport
    Raja Bhoj Airport is the main domestic and international airport serving Bhopal and the surrounding region in the Indian state of Madhya Pradesh.
  • E. Manohar International Airport
    Manohar International Airport is a major international airport in North Goa, India, serving as a key gateway for tourists and travelers visiting the region, including the nearby city of Panaji.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d74afb4819084174aab5bcdb6e0 completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19136b40c8190922052dd84d49f15 completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.