Triple

T997613
Position Surface form Disambiguated ID Type / Status
Subject Kanpur E21529 entity
Predicate region P40 FINISHED
Object Awadh E7060 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: Awadh | Statement: [Kanpur, region, Awadh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awadh
Context triple: [Kanpur, region, Awadh]
  • A. Oudh chosen
    Oudh was a historic region and former princely state in northern India, centered on present-day Lucknow, known for its rich culture, architecture, and role in the 1857 uprising against British rule.
  • B. Rohilkhand
    Rohilkhand is a historical region in northern India, located in present-day Uttar Pradesh, known for its Rohilla Afghan heritage and fertile Gangetic plains.
  • C. Uttar Pradesh
    Uttar Pradesh is a populous northern Indian state known for its political influence, rich cultural and religious heritage, and historic cities such as Varanasi and Agra.
  • D. Bhopal State
    Bhopal State was a prominent princely state in central India, historically ruled by a succession of Nawabs and noted for its strategic and political importance during the British Raj.
  • E. Jhansi State
    Jhansi State was a princely state in northern India, historically significant for its role in the 1857 uprising under the leadership of Rani Lakshmibai.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e0f0d081908b888c246d001786 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce53fd1c81909b3715231ad09b91 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:41 p.m.