Triple

T5681209
Position Surface form Disambiguated ID Type / Status
Subject Darjeeling region of West Bengal, India E125202 entity
Predicate contains P35 FINISHED
Object Kurseong E302365 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: Kurseong | Statement: [Darjeeling region of West Bengal, India, contains, Kurseong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurseong
Context triple: [Darjeeling region of West Bengal, India, contains, Kurseong]
  • A. Kurseong chosen
    Kurseong is a small hill town in the Darjeeling district of northern West Bengal, India, known for its tea gardens, cool climate, and views of the Eastern Himalayas.
  • B. Neryungri
    Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
  • C. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • D. Seogwipo
    Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
  • E. Pocheon
    Pocheon is a city in northeastern South Korea known for its natural scenery, including mountains, lakes, and recreational forests, within Gyeonggi Province.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0a7aff08190bca93ac0ab8a9be0 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:44 p.m.