Triple

T19812519
Position Surface form Disambiguated ID Type / Status
Subject Mandakini River valley E475980 entity
Predicate contains P35 FINISHED
Object Guptkashi 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: Guptkashi | Statement: [Mandakini River valley, contains, Guptkashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guptkashi
Context triple: [Mandakini River valley, contains, Guptkashi]
  • A. Guptkashi chosen
    Guptkashi is a Himalayan town in Uttarakhand, India, known as a significant religious stopover for pilgrims en route to the Kedarnath temple.
  • B. Kakatpur
    Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
  • C. Katihar
    Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
  • D. Sugauli
    Sugauli is a town in the Indian state of Bihar historically known as the place where the 1816 Treaty of Sugauli between the British East India Company and Nepal was concluded.
  • E. Basantapur
    Basantapur is a historic square in Kathmandu, Nepal, renowned for its old royal palace, traditional Newar architecture, and role as a central venue for major cultural festivals.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542c9c5c81908772e88caa067e63 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.