Triple

T32760963
Position Surface form Disambiguated ID Type / Status
Subject Little Planet E837751 entity
Predicate hasTemporalState P116906 FINISHED
Object past 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: past | Statement: [Little Planet, hasTemporalState, past]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalState
Context triple: [Little Planet, hasTemporalState, past]
  • 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. hasTemporalDefinition
    Indicates that something is associated with a definition or specification that is constrained or characterized by time.
  • D. hasTemporalUse
    Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
  • 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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: May 1, 2026, 1:13 a.m.