Triple

T2436548
Position Surface form Disambiguated ID Type / Status
Subject Teesta River E52973 entity
Predicate passesNear P416 FINISHED
Object Jalpaiguri E177808 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: Jalpaiguri | Statement: [Teesta River, passesNear, Jalpaiguri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalpaiguri
Context triple: [Teesta River, passesNear, Jalpaiguri]
  • A. Jalpaiguri chosen
    Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
  • B. Purulia
    Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
  • C. Siliguri
    Siliguri is a major commercial and transportation hub in northeastern India, strategically located near the borders of Nepal, Bhutan, and Bangladesh and serving as the gateway to the Himalayan region.
  • D. Tinsukia
    Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
  • E. Dibrugarh
    Dibrugarh is a prominent city in northeastern India known as a major commercial and industrial hub of Assam, especially for its tea industry and oil and natural gas sectors.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a342508190b30766327f298bf9 completed March 10, 2026, 4:05 a.m.
Created at: March 6, 2026, 9:43 p.m.