Triple

T15860722
Position Surface form Disambiguated ID Type / Status
Subject CTL* E384578 entity
Predicate hasTemporalOperator P120796 FINISHED
Object X 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: X | Statement: [CTL*, hasTemporalOperator, X]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalOperator
Context triple: [CTL*, hasTemporalOperator, X]
  • A. hasTemporalBehavior
    Indicates that an entity exhibits a particular pattern, characteristic, or change in behavior over time.
  • B. hasTemporalAttribute
    Indicates that an entity is associated with a specific temporal property or characteristic, such as time, duration, or period.
  • C. hasHistoricalOperator
    Indicates that an entity is or has been managed, controlled, or operated by a specific operator at some point in the past.
  • D. hasTemporalUse
    Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
  • E. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
PDg Predicate description generation batch_69e174da2c2c819099ec46616798245a completed April 16, 2026, 11:46 p.m.
Created at: April 10, 2026, 4:50 a.m.