Triple

T5083848
Position Surface form Disambiguated ID Type / Status
Subject Bundeli E114586 entity
Predicate spokenIn P2266 FINISHED
Object Panna district E478835 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: Panna district | Statement: [Bundeli, spokenIn, Panna district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panna district
Context triple: [Bundeli, spokenIn, 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. Sibi District
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • C. 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.
  • D. Dhar district
    Dhar district is an administrative district in the central Indian state of Madhya Pradesh, known for its historical sites, including the ancient fortified town of Mandu.
  • E. Arun District
    Arun District is a local government district in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfbfe2bc81909758cad44baf809e completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:39 p.m.