Triple

T15918240
Position Surface form Disambiguated ID Type / Status
Subject Chronicon E386024 entity
Predicate hasTemporalOrdering P116906 FINISHED
Object chronological order 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: chronological order | Statement: [Chronicon, hasTemporalOrdering, chronological order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalOrdering
Context triple: [Chronicon, hasTemporalOrdering, chronological order]
  • A. hasTemporalBehavior
    Indicates that an entity exhibits a particular pattern, characteristic, or change in behavior over time.
  • B. hasTemporalAttribute chosen
    Indicates that an entity is associated with a specific temporal property or characteristic, such as time, duration, or period.
  • C. hasTemporalResolution
    Indicates that one entity specifies the level of temporal detail or granularity at which another entity’s data, observation, or process is measured or represented.
  • D. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
  • E. hasTemporalExpectation
    Indicates that one entity holds an expectation about when (in time) another event, state, or action will occur or be valid.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:52 a.m.