Triple
T21888588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday market by Blå |
E540477
|
entity |
| Predicate | typicalOpeningFrequency |
P84192
|
FINISHED |
| Object | weekly |
—
|
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: weekly | Statement: [Sunday market by Blå, typicalOpeningFrequency, weekly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOpeningFrequency Context triple: [Sunday market by Blå, typicalOpeningFrequency, weekly]
-
A.
typicalOpeningPattern
Indicates that there is a commonly occurring or characteristic initial configuration, sequence, or arrangement associated with the given context.
-
B.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
typicalPeriod
chosen
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
D.
typicalUpdateFrequency
Indicates how often an entity is usually updated or refreshed over time.
-
E.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ee5f1c8190b8c6c431039eb8c9 |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.