Triple

T9619010
Position Surface form Disambiguated ID Type / Status
Subject East Khasi Hills district E232292 entity
Predicate contains P35 FINISHED
Object Cherrapunji E204016 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: Cherrapunji | Statement: [East Khasi Hills district, contains, Cherrapunji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherrapunji
Context triple: [East Khasi Hills district, contains, Cherrapunji]
  • A. Cherrapunji chosen
    Cherrapunji is a town in northeastern India renowned for its exceptionally high rainfall and dramatic living root bridges.
  • B. Mawsynram
    Mawsynram is a village in the Indian state of Meghalaya renowned for being one of the wettest places on Earth, receiving extraordinarily high annual rainfall.
  • C. Ranikhet
    Ranikhet is a hill station and cantonment town in the Kumaon region of Uttarakhand, India, known for its scenic Himalayan views and pleasant climate.
  • D. Darjeeling
    Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
  • E. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ab0a15481908945b50c622b71b9 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f4e994819088c55856bf79621d completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:09 p.m.