Triple

T2371088
Position Surface form Disambiguated ID Type / Status
Subject Activase E46090 entity
Predicate timeWindowForAcuteIschemicStroke P37859 FINISHED
Object within several hours of symptom onset 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: within several hours of symptom onset | Statement: [Activase, timeWindowForAcuteIschemicStroke, within several hours of symptom onset]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeWindowForAcuteIschemicStroke
Context triple: [Activase, timeWindowForAcuteIschemicStroke, within several hours of symptom onset]
  • A. timeBetweenInjuryAndDeath
    Indicates the duration of time that elapses between when an injury occurs and when death subsequently happens.
  • B. inceptionTime
    Indicates the specific point in time when an entity, event, or relationship begins or is first established.
  • C. timePeriodWithin
    Indicates that one time period is entirely contained within the bounds of another time period.
  • D. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • E. timePeriodImplied
    Indicates that a time period is inferred or implied by context rather than being explicitly specified.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc771302481908540e31abb5aeeba completed March 7, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69abc59b88348190a2d6c08f69974117 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc6443c6c8190b932de2abd8eb28f completed March 7, 2026, 6:31 a.m.
Created at: March 4, 2026, 7:56 p.m.