Triple

T26768655
Position Surface form Disambiguated ID Type / Status
Subject The Entail E675016 entity
Predicate hasUncertainNotability P131883 FINISHED
Object true 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: true | Statement: [The Entail, hasUncertainNotability, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUncertainNotability
Context triple: [The Entail, hasUncertainNotability, true]
  • A. hasUncertainNature
    Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
  • B. hasNotabilityFor
    Indicates that an entity is notable, recognized, or significant specifically in relation to a given subject, context, or domain.
  • C. likelyNotability chosen
    Indicates that an entity is assessed as probably not meeting a specified threshold of importance, prominence, or significance within a given context.
  • D. hasNotabilityLevel
    Indicates that an entity possesses a specified degree or rank of prominence, importance, or recognition relative to others.
  • E. hasUncertainty
    Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
  • 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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 27, 2026, 4:01 a.m.