Triple

T22073794
Position Surface form Disambiguated ID Type / Status
Subject Pala period E545473 entity
Predicate hasNotableMonasticCenter P113010 FINISHED
Object Odantapuri 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: Odantapuri | Statement: [Pala period, hasNotableMonasticCenter, Odantapuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odantapuri
Context triple: [Pala period, hasNotableMonasticCenter, Odantapuri]
  • A. Odantapuri chosen
    Odantapuri was an important early Buddhist monastic university in eastern India, renowned as a major center of learning and scholarship in the Pala period.
  • B. Hiranya Varna Mahavihar
    Hiranya Varna Mahavihar is a historic Buddhist monastery in Patan, Nepal, renowned for its intricate golden metalwork and Newar architecture.
  • C. Dharmakshetra
    Dharmakshetra is the sacred battlefield of Kurukshetra in the Indian epic Mahabharata, revered as a holy site where the Bhagavad Gita was spoken.
  • D. Mahodayapuram
    Mahodayapuram was the principal royal city and political center of the medieval Chera kingdom in present-day Kerala, India.
  • E. Vikramashila
    Vikramashila was a major medieval Buddhist monastic university in eastern India, renowned as a center of advanced Vajrayana and scholastic studies.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1288affb081908b64742f7bf467fa completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.