Triple

T7911976
Position Surface form Disambiguated ID Type / Status
Subject Coonoor E183720 entity
Predicate partOf P40 FINISHED
Object Coonoor taluk E183720 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: Coonoor taluk | Statement: [Coonoor, partOf, Coonoor taluk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coonoor taluk
Context triple: [Coonoor, partOf, Coonoor taluk]
  • A. Coonoor chosen
    Coonoor is a scenic hill station in the Nilgiri Hills of Tamil Nadu, India, known for its tea plantations, cool climate, and colonial-era charm.
  • B. Nilgiris district
    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.
  • C. Thottiyam taluk
    Thottiyam taluk is an administrative subdivision in the Indian state of Tamil Nadu, known for its predominantly rural settlements and agriculture-based economy.
  • 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. Kodagu district
    Kodagu district is a hilly, coffee-growing region in the Western Ghats of Karnataka, India, known for its scenic landscapes, rich biodiversity, and distinct Kodava culture.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a7383cc819084eab19799209d2e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:04 p.m.