Triple

T20121752
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye satellite weapon E490624 entity
Predicate targetTypeInStory P9903 FINISHED
Object financial infrastructure 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: financial infrastructure | Statement: [GoldenEye satellite weapon, targetTypeInStory, financial infrastructure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetTypeInStory
Context triple: [GoldenEye satellite weapon, targetTypeInStory, financial infrastructure]
  • A. typicalTargetType
    Indicates the usual or most common type or category of entity that serves as the target or recipient in a given relationship or action.
  • B. primaryTargetType chosen
    Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
  • C. audienceWithinStory
    Indicates that an audience exists as an internal, in-story observer or listener within the narrative itself, rather than outside it.
  • D. hasStaffTypeInStory
    Indicates that a story involves or is associated with a particular type or category of staff.
  • E. controlledByInStory
    Indicates that, within the context of a specific story or narrative, one entity exercises control or authority over another.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673f5b4c8190bf9fb5f4e6b6a452 completed April 20, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69e54cf788188190a46cc49c9ce7617f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:30 p.m.