Triple
T15465027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ditton Marsh |
E372008
|
entity |
| Predicate | hasPeakTimeService |
P106139
|
FINISHED |
| Object | additional fast services to London Waterloo |
—
|
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: additional fast services to London Waterloo | Statement: [Ditton Marsh, hasPeakTimeService, additional fast services to London Waterloo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakTimeService Context triple: [Ditton Marsh, hasPeakTimeService, additional fast services to London Waterloo]
-
A.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
B.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
C.
hasPeakServiceType
chosen
Indicates that an entity is associated with a specific type or category of service provided during peak periods.
-
D.
hasPeakHourFrequency
Indicates how often a service or event occurs during designated peak hours.
-
E.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.