Triple

T10034502
Position Surface form Disambiguated ID Type / Status
Subject Electron Pump E204929 entity
Predicate resolutionInStory P92023 FINISHED
Object requires shutting down or altering the Pump’s operation 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: requires shutting down or altering the Pump’s operation | Statement: [Electron Pump, resolutionInStory, requires shutting down or altering the Pump’s operation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resolutionInStory
Context triple: [Electron Pump, resolutionInStory, requires shutting down or altering the Pump’s operation]
  • A. storyline
    Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
  • B. positionInStory
    Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
  • C. stakesInStory
    Indicates that one entity has a personal investment, risk, or potential gain/loss tied to the outcome of another entity’s story or narrative.
  • D. narrativeAmbiguity
    Indicates that a narrative contains unclear, open-ended, or multiple possible interpretations of events, motivations, or outcomes.
  • E. storyConflict
    Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce490ff08190963d841b05d150a7 completed April 2, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69cd4b8638508190b22acc65500ec7d6 completed April 1, 2026, 4:44 p.m.
PDg Predicate description generation batch_69cd4fed19d481909d2c7ff1114664b6 completed April 1, 2026, 5:03 p.m.
Created at: March 30, 2026, 8:54 p.m.