Triple

T22924154
Position Surface form Disambiguated ID Type / Status
Subject Khajuraho Airport E569250 entity
Predicate nearbyCity P350 FINISHED
Object Panna NE NERFINISHED

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: Panna | Statement: [Khajuraho Airport, nearbyCity, Panna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panna
Context triple: [Khajuraho Airport, nearbyCity, Panna]
  • A. Panna chosen
    Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
  • B. Pachpadra
    Pachpadra is a town in Rajasthan, India, known for its traditional salt pans and location along key transport routes in the Barmer district.
  • C. Pohara
    Pohara is a small coastal settlement in Golden Bay, Tasman District, New Zealand, known for its sandy beach and holiday accommodation.
  • D. Pupri
    Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
  • E. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d7973c8190b09a5690fd1d3f28 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.