Triple
T15241171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dart Charge |
E364256
|
entity |
| Predicate | hasOffPeakPolicy |
P102301
|
FINISHED |
| Object | no charge between 10pm and 6am (historical/subject to change) |
—
|
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: no charge between 10pm and 6am (historical/subject to change) | Statement: [Dart Charge, hasOffPeakPolicy, no charge between 10pm and 6am (historical/subject to change)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffPeakPolicy Context triple: [Dart Charge, hasOffPeakPolicy, no charge between 10pm and 6am (historical/subject to change)]
-
A.
hasPeakOffPeakDifferentiation
chosen
Indicates that there is a distinction between peak and off-peak periods in how something is applied, priced, or operated.
-
B.
isOnPeak
Indicates that one entity is located at, or positioned on, the highest point or summit of another entity.
-
C.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
D.
typicalOffPeakServiceTo
Indicates the usual or standard off-peak (non-peak time) service pattern that operates to a given destination.
-
E.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.