Triple
T11931976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disability Living Allowance |
E283935
|
entity |
| Predicate | mobilityComponentRates |
P11375
|
FINISHED |
| Object | lower rate |
—
|
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: lower rate | Statement: [Disability Living Allowance, mobilityComponentRates, lower rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobilityComponentRates Context triple: [Disability Living Allowance, mobilityComponentRates, lower rate]
-
A.
mobilityComponent
chosen
Indicates that one entity functions as a mobility-related component or module that enables or affects the movement capabilities of another entity.
-
B.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
C.
mobilityCharacteristic
Indicates a relationship where an entity is described or classified in terms of its movement or transportation-related properties, such as how, how well, or under what conditions it can move or be moved.
-
D.
fareTypes
Indicates the categories or kinds of fares (e.g., ticket or pricing options) that apply to a given travel or service offering.
-
E.
rechargeRate
Indicates the rate or speed at which something restores or replenishes its capacity, energy, or resources over time.
- 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.