Triple
T14753566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London congestion charging zone |
E346673
|
entity |
| Predicate | feeAppliesWhen |
P25908
|
FINISHED |
| Object | vehicle enters the zone during charging hours |
—
|
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: vehicle enters the zone during charging hours | Statement: [London congestion charging zone, feeAppliesWhen, vehicle enters the zone during charging hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feeAppliesWhen Context triple: [London congestion charging zone, feeAppliesWhen, vehicle enters the zone during charging hours]
-
A.
chargesFeeFor
Indicates that one entity requires payment of a fee from another entity in exchange for a specific service, product, or privilege.
-
B.
feePolicy
chosen
Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
-
C.
feeStatus
Indicates the current state or condition of fees associated with an entity, such as whether they are due, paid, waived, or overdue.
-
D.
feeType
Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
-
E.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
- 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.