Triple
T2953204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council Tax |
E79868
|
entity |
| Predicate | singlePersonDiscountRate |
P44312
|
FINISHED |
| Object | 25 percent |
—
|
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: 25 percent | Statement: [Council Tax, singlePersonDiscountRate, 25 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singlePersonDiscountRate Context triple: [Council Tax, singlePersonDiscountRate, 25 percent]
-
A.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
B.
supportsAgeDiscounts
Indicates that the subject entity offers or honors special pricing or discounts based on a person's age.
-
C.
offersDiscountsOn
Indicates that one entity provides price reductions or special discount deals specifically applied to another entity or its associated items or services.
-
D.
topIndividualRateAfterReform
Indicates the highest individual rate that applies following the implementation of a reform.
-
E.
reducedDutyRateOn
Indicates a relationship where a reduced customs or tax duty rate is applied to a specified item or transaction.
- F. None of above. chosen
Provenance (4 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fe4b688190a0f68c4f80cd6f8f |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:57 p.m.