Triple

T21908801
Position Surface form Disambiguated ID Type / Status
Subject Tiger Hill (Darjeeling) E541008 entity
Predicate accessedFrom P1985 FINISHED
Object Darjeeling town 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: Darjeeling town | Statement: [Tiger Hill (Darjeeling), accessedFrom, Darjeeling town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darjeeling town
Context triple: [Tiger Hill (Darjeeling), accessedFrom, Darjeeling town]
  • A. Darjeeling chosen
    Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
  • B. 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.
  • C. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • D. Putalibazar
    Putalibazar is a municipality in central Nepal known as a local administrative and commercial center within Gandaki Province.
  • E. Ooty
    Ooty is a popular hill station in the Nilgiri Hills of southern India, known for its cool climate, tea plantations, and scenic mountain landscapes.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d8c3108190a178ec6b3857da3f completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:39 p.m.