Triple

T31306846
Position Surface form Disambiguated ID Type / Status
Subject Maku fortress E798354 entity
Predicate imprisonmentRole P19980 FINISHED
Object place of confinement of the Báb before his transfer to other prisons 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: place of confinement of the Báb before his transfer to other prisons | Statement: [Maku fortress, imprisonmentRole, place of confinement of the Báb before his transfer to other prisons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imprisonmentRole
Context triple: [Maku fortress, imprisonmentRole, place of confinement of the Báb before his transfer to other prisons]
  • A. prisonRole chosen
    Indicates a role or function that an entity holds within the context or system of a prison.
  • B. imprisonedWith
    Indicates that two entities are confined or held in prison together at the same time and place.
  • C. imprisonmentContext
    Indicates that one entity is held in confinement or custody by another entity or authority within a specific legal, temporal, or situational context.
  • D. leaderImprisonedFrom
    Indicates that a leader was imprisoned starting from the specified time or date.
  • E. sometimesImprisons
    Indicates that one entity occasionally confines or incarcerates another entity, but not on a regular or constant basis.
  • 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_69f224e0bd4c8190aab9b29a73f7aa3c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6a0ea04888190ac3a813b603bcb5c completed May 3, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69f69fe463248190aa78128abeab1183 completed May 3, 2026, 1:07 a.m.
Created at: April 29, 2026, 9:14 p.m.