Triple

T23432258
Position Surface form Disambiguated ID Type / Status
Subject Nivruttinath E563362 entity
Predicate associatedWith P37 FINISHED
Object Trimbakeshwar region 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: Trimbakeshwar region | Statement: [Nivruttinath, associatedWith, Trimbakeshwar region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trimbakeshwar region
Context triple: [Nivruttinath, associatedWith, Trimbakeshwar region]
  • A. Trimbakeshwar chosen
    Trimbakeshwar is an ancient Hindu temple town in Maharashtra, India, renowned as one of the twelve Jyotirlingas of Lord Shiva and a major pilgrimage site.
  • B. Banavasi region
    The Banavasi region is an ancient cultural and political center in present-day Karnataka, India, historically renowned as the early capital and heartland of the Kadamba dynasty.
  • C. Shirdi
    Shirdi is a prominent pilgrimage town in Maharashtra, India, best known as the home and shrine of the revered saint Sai Baba.
  • D. Khopoli
    Khopoli is an industrial town in Maharashtra, India, known for its manufacturing units, proximity to the Western Ghats, and location along the Mumbai–Pune route.
  • E. Ratlam
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d920548190904f80c7c40cba06 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.