Triple

T11826058
Position Surface form Disambiguated ID Type / Status
Subject Four Arya Truths E281262 entity
Predicate secondTruthName P101702 FINISHED
Object samudaya 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: samudaya | Statement: [Four Arya Truths, secondTruthName, samudaya]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondTruthName
Context triple: [Four Arya Truths, secondTruthName, samudaya]
  • A. secondGenerationName
    Indicates that the object is the name given to the second generation derived from the subject.
  • B. secondHolderGivenName
    Indicates that the given name specified belongs to the second holder in a multi-holder relationship or record.
  • C. secondCreatedBy
    Indicates that an entity was created by a second or subsequent creator, distinguishing this creator from the primary or original one.
  • D. secondWord
    Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
  • E. secondClauseKnownAs
    Indicates that one clause in a legal or formal document is alternatively referred to or identified by a second, specific name or designation.
  • F. None of above. chosen

Provenance (4 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
PDg Predicate description generation batch_69d8a43cc0c881909fed7cd759fe90b1 completed April 10, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:43 p.m.