Triple

T18836999
Position Surface form Disambiguated ID Type / Status
Subject Raisen district E460689 entity
Predicate namedAfter P63 FINISHED
Object Raisen 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: Raisen | Statement: [Raisen district, namedAfter, Raisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raisen
Context triple: [Raisen district, namedAfter, Raisen]
  • A. Raisen district chosen
    Raisen district is an administrative region in the Indian state of Madhya Pradesh that is notable for encompassing the prehistoric Rock Shelters of Bhimbetka, a UNESCO World Heritage Site.
  • B. Basti District
    Basti District is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and location in the eastern part of the state.
  • C. Auraiya district
    Auraiya district is an administrative district in the state of Uttar Pradesh, India, known for its location along major transport routes and its largely agrarian economy.
  • D. Datia
    Datia is a historic town and administrative center in central India, known for its palaces and temples, located in the state of Madhya Pradesh.
  • E. Rewa Province
    Rewa Province is an administrative region in Fiji on the island of Viti Levu that includes the nation’s capital city, Suva.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99e86388190957acaaab401b5cb completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.