Triple
T38083535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Pension |
E950915
|
entity |
| Predicate | notMeansTested |
P102236
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [State Pension, notMeansTested, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notMeansTested Context triple: [State Pension, notMeansTested, true]
-
A.
notMeansTestedOn
chosen
Indicates that the benefit, service, or program is provided without assessing or depending on the recipient’s income or financial resources.
-
B.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
-
C.
isMeansTested
Indicates that access to or eligibility for something is determined based on an assessment of financial means or income.
-
D.
notStatus
Indicates that an entity does not have, is not in, or does not match a specified status or state.
-
E.
isNotIndicatedFor
Indicates that a treatment, action, or option is not recommended or appropriate for a particular condition, situation, or entity.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.