Triple

T30584194
Position Surface form Disambiguated ID Type / Status
Subject Kakusandha Buddha E778459 entity
Predicate enlightenmentTree P40509 FINISHED
Object sirīsa tree 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: sirīsa tree | Statement: [Kakusandha Buddha, enlightenmentTree, sirīsa tree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enlightenmentTree
Context triple: [Kakusandha Buddha, enlightenmentTree, sirīsa tree]
  • A. treeOfEnlightenment chosen
    Indicates a relationship in which something serves as a central, foundational source or origin point for enlightenment, wisdom, or spiritual awakening.
  • B. functionDuringEnlightenment
    Indicates that an entity performs or exists in a particular function, role, or operational state specifically during the period of Enlightenment.
  • C. hasPerspectiveOnEnlightenment
    Indicates that an entity holds a particular viewpoint, interpretation, or understanding regarding enlightenment.
  • D. historicalConcept
    Indicates that something represents, embodies, or is recognized as a concept, idea, or notion rooted in or primarily relevant to a past historical context.
  • E. timeAfterEnlightenment
    Indicates that one time point occurs after the moment of enlightenment in a given temporal or spiritual framework.
  • 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68945093481909c6eba86bc50870e completed May 2, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:23 p.m.