Triple
T14691867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billingsgate Market |
E345053
|
entity |
| Predicate | typicalOpeningHoursStart |
P7784
|
FINISHED |
| Object | 04:00 |
—
|
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: 04:00 | Statement: [Billingsgate Market, typicalOpeningHoursStart, 04:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOpeningHoursStart Context triple: [Billingsgate Market, typicalOpeningHoursStart, 04:00]
-
A.
typicalBusinessHourStartLocalTime
chosen
Indicates the local time at which a business’s normal operating hours typically begin.
-
B.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
C.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
D.
hoursOfOperation
Indicates the time periods during which a place or service is open and available for use.
-
E.
roofOpeningTime
Indicates the time at which a roof (typically movable or retractable) is opened.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.