Triple

T6806865
Position Surface form Disambiguated ID Type / Status
Subject Amravati E156328 entity
Predicate partOf P40 FINISHED
Object Amravati district E220736 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: Amravati district | Statement: [Amravati, partOf, Amravati district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amravati district
Context triple: [Amravati, partOf, Amravati district]
  • A. Amravati district chosen
    Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
  • 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. 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.
  • D. Sitapur district
    Sitapur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural landscape and location in the fertile plains of northern India.
  • E. Yavatmal district
    Yavatmal district is an administrative district in the Vidarbha region of Maharashtra, India, known for its cotton-growing agriculture and predominantly rural 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79428801c8190817a95d94ff180b9 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:16 p.m.