Triple

T22248604
Position Surface form Disambiguated ID Type / Status
Subject Kasol E549911 entity
Predicate near P350 FINISHED
Object Manikaran 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: Manikaran | Statement: [Kasol, near, Manikaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manikaran
Context triple: [Kasol, near, Manikaran]
  • A. Manikaran chosen
    Manikaran is a small pilgrimage town in Himachal Pradesh, India, renowned for its hot springs and Sikh and Hindu religious sites in the Parvati Valley.
  • B. Manjai Kunda
    Manjai Kunda is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • C. Daksiri
    Daksiri is a principal settlement and local center of the Kilba people in northeastern Nigeria.
  • D. Sautramani
    Sautramani is a specialized Vedic sacrificial ritual associated with Indra and Soma, performed to atone for ritual errors and restore cosmic and social order.
  • E. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13219dc3481908dd987c4e98623e6 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.