Triple

T4344318
Position Surface form Disambiguated ID Type / Status
Subject West Wind Drift E97861 entity
Predicate hasTemporalProperty P29111 FINISHED
Object perennial current active year-round 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: perennial current active year-round | Statement: [West Wind Drift, hasTemporalProperty, perennial current active year-round]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalProperty
Context triple: [West Wind Drift, hasTemporalProperty, perennial current active year-round]
  • A. hasTemporalUse
    Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
  • B. hasTemporalLocation
    Indicates that something occurs, exists, or is valid during a specific time or time interval.
  • C. temporalAspect chosen
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • D. 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).
  • E. temporality
    Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518aa5cc8190b50f47b1070715fe completed March 12, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:15 p.m.