Triple
T21687310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oran waterfront |
E535262
|
entity |
| Predicate | hasTimeOfUse |
P70126
|
FINISHED |
| Object | daytime |
—
|
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: daytime | Statement: [Oran waterfront, hasTimeOfUse, daytime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeOfUse Context triple: [Oran waterfront, hasTimeOfUse, daytime]
-
A.
hasOffPeakUsage
Indicates that an entity exhibits or is associated with usage occurring during designated off-peak times rather than standard peak periods.
-
B.
hasPeakOffPeakDifferentiation
Indicates that there is a distinction between peak and off-peak periods in how something is applied, priced, or operated.
-
C.
timeOfChange
Indicates the specific time at which a change, transition, or modification of a state or relationship occurs.
-
D.
isOnPeak
Indicates that one entity is located at, or positioned on, the highest point or summit of another entity.
-
E.
hasTypicalUseTime
chosen
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.