Triple
T4974966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thames Clippers river bus services |
E111740
|
entity |
| Predicate | operationalDays |
P10069
|
FINISHED |
| Object | seven days a week |
—
|
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: seven days a week | Statement: [Thames Clippers river bus services, operationalDays, seven days a week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalDays Context triple: [Thames Clippers river bus services, operationalDays, seven days a week]
-
A.
daysOfOperation
chosen
Indicates the specific days on which an entity (such as a service, facility, or operation) is active or functioning.
-
B.
serviceDays
Indicates the specific days on which a service is provided or operates.
-
C.
hasPublicDays
Indicates that an entity has specific days designated as open or accessible to the public.
-
D.
hoursOfOperation
Indicates the time periods during which a place or service is open and available for use.
-
E.
numberOperational
Indicates that an entity is currently functioning and available for use in its intended operational capacity.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.