Triple

T26333491
Position Surface form Disambiguated ID Type / Status
Subject Team 10 meetings E662455 entity
Predicate notableConceptDiscussed P197508 FINISHED
Object human association 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: human association | Statement: [Team 10 meetings, notableConceptDiscussed, human association]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableConceptDiscussed
Context triple: [Team 10 meetings, notableConceptDiscussed, human association]
  • A. notableWorkDiscussed
    Indicates that a particular work (such as a book, film, or artwork) is the subject of discussion, analysis, or commentary in relation to another entity.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. notableArgument
    Indicates that an entity plays a particularly important, prominent, or distinguished role as an argument (participant) in a given relation or event.
  • D. notableArticleTopic
    Indicates that an article is notably about, focused on, or significantly discusses a particular topic.
  • E. notableProposition
    Indicates that a subject is associated with a proposition, statement, or claim that is considered notable or significant in some context.
  • 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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69fe991bca608190b524e419642f4243 completed May 9, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69fe979fc1c4819091fc48d63ea12063 completed May 9, 2026, 2:10 a.m.
PDg Predicate description generation batch_69fe991abc6c81908edbb98d61c9ca73 completed May 9, 2026, 2:16 a.m.
Created at: April 26, 2026, 10:34 p.m.