Triple
T26656053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain Draham |
E666508
|
entity |
| Predicate | seasonalTourismPeak |
P127382
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Ain Draham, seasonalTourismPeak, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalTourismPeak Context triple: [Ain Draham, seasonalTourismPeak, winter]
-
A.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
B.
hasPeakVisitationSeason
chosen
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
C.
seasonalDemandPeak
Indicates that demand for a product, service, or resource reaches its highest level during a specific recurring season or time period.
-
D.
summerTouristSeason
Indicates the period during summer when a place experiences increased tourist activity or visitation.
-
E.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 2:35 a.m.