Triple
T30232919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM Prison Swaleside |
E768679
|
entity |
| Predicate | categoryLabel |
P70985
|
FINISHED |
| Object | high-security men's prison |
—
|
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: high-security men's prison | Statement: [HM Prison Swaleside, categoryLabel, high-security men's prison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryLabel Context triple: [HM Prison Swaleside, categoryLabel, high-security men's prison]
-
A.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
-
B.
categoryLabel_A
Indicates that an entity is assigned to or associated with a specific category label A.
-
C.
categoryLabel_H
chosen
Indicates that an entity is assigned a human-readable category label or classification.
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 7:37 p.m.