Triple

T9130855
Position Surface form Disambiguated ID Type / Status
Subject #NeverForget E219080 entity
Predicate temporalAssociation P11533 FINISHED
Object annual September 11 anniversary 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: annual September 11 anniversary | Statement: [#NeverForget, temporalAssociation, annual September 11 anniversary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalAssociation
Context triple: [#NeverForget, temporalAssociation, annual September 11 anniversary]
  • A. temporalRelation
    Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
  • B. temporalAspect
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • C. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
  • D. temporality
    Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
  • E. associatedWithTime chosen
    Indicates a relationship where something is linked or connected to a specific point or period in time.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69cc6601d77881908299d58db6e64937 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:18 p.m.