Triple
T11931983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disability Living Allowance |
E283935
|
entity |
| Predicate | ageGroupCurrentlyNewClaims |
P19123
|
FINISHED |
| Object | children under 16 |
—
|
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: children under 16 | Statement: [Disability Living Allowance, ageGroupCurrentlyNewClaims, children under 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageGroupCurrentlyNewClaims Context triple: [Disability Living Allowance, ageGroupCurrentlyNewClaims, children under 16]
-
A.
statusForMostNewClaimants
Indicates the status condition that applies to the majority of individuals who are newly making claims.
-
B.
statusForNewClaimants
Indicates the status or condition that applies specifically to individuals who are newly making a claim.
-
C.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
D.
ageGroup
chosen
Indicates the categorical age range or bracket to which an entity belongs.
-
E.
numberOfClaimants
Indicates the quantity of individuals or parties making a claim in a given context or case.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.