Triple

T22924268
Position Surface form Disambiguated ID Type / Status
Subject Khajuraho (Lok Sabha constituency) E569254 entity
Predicate locatedInDistrict P40 FINISHED
Object Panna district 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 district | Statement: [Khajuraho (Lok Sabha constituency), locatedInDistrict, Panna district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panna district
Context triple: [Khajuraho (Lok Sabha constituency), locatedInDistrict, Panna district]
  • A. Panna district chosen
    Panna district is an administrative region in the Indian state of Madhya Pradesh, known for its rich diamond reserves, historical temples, and the wildlife of Panna National Park.
  • B. Gaj district
    Gaj district is a residential neighborhood in the city of Wrocław, Poland.
  • C. Sibi District
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • D. Awantipora district
    Awantipora district is an administrative district in the Kashmir Valley region of Jammu and Kashmir, India, known for its historical temples and proximity to the Jhelum River.
  • E. Satna district
    Satna district is an administrative district in the Indian state of Madhya Pradesh, known for its cement industries and proximity to important historical and religious sites.
  • 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.