Triple
T15051017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cork City Gaol |
E379359
|
entity |
| Predicate | prisonerGender |
P81519
|
FINISHED |
| Object | male 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: male prisoners | Statement: [Cork City Gaol, prisonerGender, male prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerGender Context triple: [Cork City Gaol, prisonerGender, male prisoners]
-
A.
hasInmateGender
chosen
Indicates that an inmate possesses a specified gender.
-
B.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
hasPerpetratorGender
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
-
D.
hasGenderOfPerson
Indicates that a person is associated with a specific gender classification.
-
E.
playsGender
Indicates that one entity performs or assumes a particular gender role or identity in a given context.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda90b9948190a0d71de0b23188da |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3:01 a.m.