Triple
T31061519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Kesh, County Antrim, Northern Ireland |
E791551
|
entity |
| Predicate | hadGenderOfInmates |
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: [Long Kesh, County Antrim, Northern Ireland, hadGenderOfInmates, male prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadGenderOfInmates Context triple: [Long Kesh, County Antrim, Northern Ireland, hadGenderOfInmates, male prisoners]
-
A.
hasInmateGender
chosen
Indicates that an inmate possesses a specified gender.
-
B.
hadGender
Indicates that an entity possessed a specific gender.
-
C.
hasGenderHistory
Indicates that an entity has undergone or experienced a change or transition in gender over time.
-
D.
hasPerpetratorGender
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
-
E.
hasGenderOfPerson
Indicates that a person is associated with a specific gender classification.
- 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695774a2481908b1fc2ff44544db6 |
completed | May 3, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:01 p.m.