Triple

T12355386
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Corrections (Philippines) E294596 entity
Predicate typeOfPrisonsManaged P19110 FINISHED
Object national penitentiaries 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: national penitentiaries | Statement: [Bureau of Corrections (Philippines), typeOfPrisonsManaged, national penitentiaries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfPrisonsManaged
Context triple: [Bureau of Corrections (Philippines), typeOfPrisonsManaged, national penitentiaries]
  • A. prisonType chosen
    Indicates the specific category or classification of a prison associated with an entity.
  • B. operatedPrison
    Indicates that an entity managed, ran, or was responsible for the day-to-day operation of a particular prison.
  • C. isPenalInstitution
    Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
  • D. hasPrisonerPopulation
    Indicates that an entity maintains or contains a population of prisoners, specifying the number or presence of incarcerated individuals associated with it.
  • E. numberOfPrisonersApproximate
    Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d942a2d6e08190a13c7ff89af09354 completed April 10, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69d93ecf6b548190a394b6b56a0c1c68 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.