Triple

T5083850
Position Surface form Disambiguated ID Type / Status
Subject Bundeli E114586 entity
Predicate spokenIn P2266 FINISHED
Object Jhansi district E340939 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: Jhansi district | Statement: [Bundeli, spokenIn, Jhansi district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhansi district
Context triple: [Bundeli, spokenIn, Jhansi district]
  • A. Jhansi district chosen
    Jhansi district is an administrative region in the Indian state of Uttar Pradesh, known for its historic city of Jhansi and its prominent role in the Indian Rebellion of 1857.
  • B. Jabalpur district
    Jabalpur district is an administrative district in the central Indian state of Madhya Pradesh, known for its urban center Jabalpur city and proximity to natural and historical attractions.
  • C. Jamnagar district
    Jamnagar district is an administrative region in the western Indian state of Gujarat, known for its coastal location, industrial hubs, and cultural heritage.
  • D. Singrauli district
    Singrauli district is an administrative district in the Indian state of Madhya Pradesh, known as a major center for coal mining and thermal power generation.
  • E. Jalaun district
    Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
  • 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_69bf91e444b081909d97eebf04d7f380 completed March 22, 2026, 6:53 a.m.
Created at: March 20, 2026, 1:39 p.m.