Triple

T20101299
Position Surface form Disambiguated ID Type / Status
Subject Panna Nagar Palika E496546 entity
Predicate locatedInAdministrativeTerritory 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: [Panna Nagar Palika, locatedInAdministrativeTerritory, Panna district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panna district
Context triple: [Panna Nagar Palika, locatedInAdministrativeTerritory, 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. 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.
  • E. Ghat District
    Ghat District is an administrative region in southwestern Libya, known for its Saharan desert landscapes, Tuareg cultural heritage, and the historic oasis town of Ghat.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.