Triple

T24402809
Position Surface form Disambiguated ID Type / Status
Subject Justizvollzugsanstalt Hamm E615224 entity
Predicate inmatePopulationFrom P156059 FINISHED
Object Hamm region NE NERFINISHED

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: Hamm region | Statement: [Justizvollzugsanstalt Hamm, inmatePopulationFrom, Hamm region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inmatePopulationFrom
Context triple: [Justizvollzugsanstalt Hamm, inmatePopulationFrom, Hamm region]
  • A. numberOfPrisonersApproximate
    Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
  • B. hasPrisonerPopulation
    Indicates that an entity maintains or contains a population of prisoners, specifying the number or presence of incarcerated individuals associated with it.
  • C. detainedPopulation
    Indicates that a population of individuals is being held in custody or confinement, typically by legal or governmental authority.
  • D. estimatedPrisonerCount
    Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
  • E. detainedPrisonersFrom
    Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
  • F. None of above. chosen

Provenance (4 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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294dc1240819085aba9a8c2e07f42 completed April 29, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
PDg Predicate description generation batch_69f28f4d978c81908310c01def2514cc completed April 29, 2026, 11:07 p.m.
Created at: April 18, 2026, 2:05 a.m.