Triple

T5681093
Position Surface form Disambiguated ID Type / Status
Subject Patañjali E125199 entity
Predicate historicDebate P59206 FINISHED
Object scholarly debate on whether multiple historical authors named Patañjali existed LITERAL 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: scholarly debate on whether multiple historical authors named Patañjali existed | Statement: [Patañjali, historicDebate, scholarly debate on whether multiple historical authors named Patañjali existed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicDebate
Context triple: [Patañjali, historicDebate, scholarly debate on whether multiple historical authors named Patañjali existed]
  • A. historicityDebate chosen
    Indicates a debate or scholarly dispute over whether an event, figure, or narrative is historically factual or actually occurred.
  • B. heritageDebate
    Indicates a discussion or dispute concerning the preservation, interpretation, or value of cultural or historical heritage.
  • C. chronologyDebate
    Indicates a debate or dispute concerning the correct sequence, dating, or temporal ordering of events.
  • D. historicFor
    Indicates that something holds historical significance or importance specifically in relation to another entity.
  • E. historical
    Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
  • F. None of above.

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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248751bc8190b12aaa42d1ef17e3 completed March 22, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69c021be59088190a81c880957f666ab completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:44 p.m.