Triple

T32224618
Position Surface form Disambiguated ID Type / Status
Subject Alatar E823160 entity
Predicate textualCertainty P163994 FINISHED
Object Details of deeds and fate are largely unknown 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: Details of deeds and fate are largely unknown | Statement: [Alatar, textualCertainty, Details of deeds and fate are largely unknown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textualCertainty
Context triple: [Alatar, textualCertainty, Details of deeds and fate are largely unknown]
  • A. narrativeCertainty
    Indicates the degree of confidence or definitiveness with which a narrative, statement, or account is presented as true or reliable.
  • B. hasCertainty
    Indicates that a statement, belief, or relationship is associated with a specific level or degree of confidence or surety.
  • C. epistemicStatusOfText chosen
    Indicates the degree of certainty, reliability, or evidential support associated with the information expressed in a text.
  • D. confidenceLevel
    Indicates the degree of certainty or assurance associated with a particular claim, decision, or outcome.
  • E. textualUniqueness
    Indicates that one text is distinct from others in content or expression, without significant duplication or overlap.
  • 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_69f3490b4f948190b99e4f999f5be25f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbc8c6c881908ce99e774c010ff5 completed May 3, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69f6b6293188819080d5041ca0adb969 completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:38 a.m.