Triple

T7734796
Position Surface form Disambiguated ID Type / Status
Subject Nilgiri Hills E175352 entity
Predicate partOf P40 FINISHED
Object Nilgiris district E334221 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: Nilgiris district | Statement: [Nilgiri Hills, partOf, Nilgiris district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilgiris district
Context triple: [Nilgiri Hills, partOf, Nilgiris district]
  • A. Nilgiris district chosen
    Nilgiris district is a mountainous region in the Indian state of Tamil Nadu, renowned for its tea plantations, cool climate, and rich biodiversity in the Western Ghats.
  • B. Krishnagiri district
    Krishnagiri district is an administrative district in the Indian state of Tamil Nadu, known for its hilly terrain, mango cultivation, and growing industrial and transport connectivity.
  • C. Coorg
    Coorg, also known as Kodagu, is a scenic hill district in Karnataka, India, famed for its coffee plantations, lush forests, and mist-covered landscapes.
  • D. Karur district
    Karur district is an administrative district in the Indian state of Tamil Nadu, known for its textile industry and central location within the state.
  • E. Wayanad
    Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7033afbb881909b7ed2cc8f6c27c3 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b534b6588190885db4632b97775f completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.