Triple

T817359
Position Surface form Disambiguated ID Type / Status
Subject Bastille E17678 entity
Predicate prisonRole P19980 FINISHED
Object detention of political prisoners 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: detention of political prisoners | Statement: [Bastille, prisonRole, detention of political prisoners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prisonRole
Context triple: [Bastille, prisonRole, detention of political prisoners]
  • A. prisonType
    Indicates the specific category or classification of a prison associated with an entity.
  • B. hasBeenImprisonedBy
    Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
  • C. wasImprisonedIn
    Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
  • D. notablePrisoner
    Indicates that a person is recognized as a significant or noteworthy inmate of a particular prison or detention facility.
  • E. imprisonedFor
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4781c88190ae36906251347cdc completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:38 p.m.