Triple
T14753540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London congestion charging zone |
E346673
|
entity |
| Predicate | hasDiscountsFor |
P9238
|
FINISHED |
| Object | residents within the zone |
—
|
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: residents within the zone | Statement: [London congestion charging zone, hasDiscountsFor, residents within the zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscountsFor Context triple: [London congestion charging zone, hasDiscountsFor, residents within the zone]
-
A.
offersDiscountsOn
chosen
Indicates that one entity provides price reductions or special discount deals specifically applied to another entity or its associated items or services.
-
B.
hasPromotionMethod
Indicates the method or strategy by which something is promoted or advertised.
-
C.
hasPromotionStyle
Indicates the manner or approach used to promote or market something in relation to another entity.
-
D.
discountRate
Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
-
E.
discountMechanism
Indicates a relationship where one entity defines the method, rule, or process by which a discount is calculated, applied, or granted to another 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.