Triple

T5229101
Position Surface form Disambiguated ID Type / Status
Subject White British E118063 entity
Predicate dataCollectedFor P4241 FINISHED
Object equality monitoring 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: equality monitoring | Statement: [White British, dataCollectedFor, equality monitoring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataCollectedFor
Context triple: [White British, dataCollectedFor, equality monitoring]
  • A. dataTypeCollected chosen
    Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
  • B. collectedThrough
    Indicates that something was obtained, gathered, or acquired by means of a specified process, method, or channel.
  • C. collectsInformationOn
    Indicates that one entity gathers or acquires data, facts, or details about another entity.
  • D. dataPortal
    Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
  • E. dataSubject
    Indicates that one entity is the individual to whom the personal data or information in question relates.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0093a88190aba381ba3f761408 completed March 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69bd77bf1ef08190bb3487b3f3ee088c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:48 p.m.