Triple

T16523985
Position Surface form Disambiguated ID Type / Status
Subject PIDE E401387 entity
Predicate employedMethods P115396 FINISHED
Object surveillance 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: surveillance | Statement: [PIDE, employedMethods, surveillance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employedMethods
Context triple: [PIDE, employedMethods, surveillance]
  • A. employedPeople
    Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
  • B. employedThrough
    Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
  • C. employedApproximately
    Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
  • D. employedSystem
    Indicates that a system is used or operated in the context of an employment or work-related arrangement.
  • E. employsSystem chosen
    Indicates that one entity makes use of or operates a particular system to perform its functions or activities.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed2622c8190b6429a49ca92284a completed April 18, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.