Triple

T532445
Position Surface form Disambiguated ID Type / Status
Subject Doctrine of Lapse E12251 entity
Predicate annexedState P960 FINISHED
Object Nagpur E19222 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: Nagpur | Statement: [Doctrine of Lapse, annexedState, Nagpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagpur
Context triple: [Doctrine of Lapse, annexedState, Nagpur]
  • A. Nagpur chosen
    Nagpur is a major city in the Indian state of Maharashtra, known as a key political and commercial center and often referred to as the "Orange City" for its famous orange production.
  • B. Pune
    Pune is a major cultural, educational, and IT hub in the western Indian state of Maharashtra, known for its universities, historical significance, and rapidly growing urban economy.
  • C. Nashik
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • D. Nanded
    Nanded is a historic city in the Indian state of Maharashtra, known as an important Sikh pilgrimage center and a major urban hub in the Marathwada region.
  • E. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927a25b081909b553fe3a486e84a completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:32 p.m.