Triple
T8001318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Protection |
E186253
|
entity |
| Predicate | canAlsoApplyTo |
P70805
|
FINISHED |
| Object | young people aged 16 and 17 who lack capacity |
—
|
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: young people aged 16 and 17 who lack capacity | Statement: [Court of Protection, canAlsoApplyTo, young people aged 16 and 17 who lack capacity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAlsoApplyTo Context triple: [Court of Protection, canAlsoApplyTo, young people aged 16 and 17 who lack capacity]
-
A.
appliesAlsoTo
chosen
Indicates that a condition, rule, or characteristic that applies to one entity is additionally applicable to another entity.
-
B.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
C.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
D.
appliesFrom
Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
-
E.
canAlsoIndicate
Indicates that something may additionally signify, represent, or serve as another meaning or function beyond its primary one.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9cd06081908b62bb41e228c321 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.