Triple

T36827071
Position Surface form Disambiguated ID Type / Status
Subject Perote Fortress E910037 entity
Predicate hasPrisonFunction P205068 FINISHED
Object yes 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: yes | Statement: [Perote Fortress, hasPrisonFunction, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrisonFunction
Context triple: [Perote Fortress, hasPrisonFunction, yes]
  • A. hasPrison
    Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
  • B. hasPrisonService
    Indicates that an entity provides, manages, or is responsible for prison-related services or operations for another entity.
  • C. hasBeenImprisonedBy
    Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
  • D. hasBeenImprisoned
    Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
  • E. hasJail
    Indicates that one entity possesses, operates, or is associated with a jail or detention facility.
  • 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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:13 p.m.