Triple

T32112090
Position Surface form Disambiguated ID Type / Status
Subject Special Category Visa (subclass 444) E820143 entity
Predicate biometricCollection P63130 FINISHED
Object may be required in some circumstances 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: may be required in some circumstances | Statement: [Special Category Visa (subclass 444), biometricCollection, may be required in some circumstances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: biometricCollection
Context triple: [Special Category Visa (subclass 444), biometricCollection, may be required in some circumstances]
  • A. includesBiometrics chosen
    Indicates that one entity contains, uses, or is associated with biometric data or biometric identifiers of another entity.
  • B. recognizesIndividual
    Indicates that one entity identifies or acknowledges the identity or presence of a specific individual.
  • C. recognizesPeople
    Indicates that an entity is able to identify or acknowledge specific individuals as distinct persons.
  • D. FIDERecognition
    Indicates that an entity is officially recognized, sanctioned, or endorsed by FIDE, the international chess federation.
  • E. hasFacialProfile
    Indicates that an entity possesses a specific facial profile or configuration of facial features.
  • 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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:27 a.m.