Triple

T19254881
Position Surface form Disambiguated ID Type / Status
Subject Datia State E481488 entity
Predicate todayIn P106912 FINISHED
Object Datia district 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: Datia district | Statement: [Datia State, todayIn, Datia district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datia district
Context triple: [Datia State, todayIn, Datia district]
  • A. Datia district chosen
    Datia district is an administrative district in the central Indian state of Madhya Pradesh, known for its historic forts and temples.
  • B. Narmada district
    Narmada district is an administrative district in the state of Gujarat, India, known for the Narmada River and the Statue of Unity near Kevadia.
  • C. 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.
  • D. Amravati district
    Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
  • E. Kalahandi district
    Kalahandi district is an administrative region in the Indian state of Odisha, known for its tribal population, cultural diversity, and historical association with poverty and drought.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3459d08190a7c28ed3f8c82a97 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.