Triple
T27206597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice region |
E683882
|
entity |
| Predicate | mainTouristSeason |
P78489
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Nice region, mainTouristSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTouristSeason Context triple: [Nice region, mainTouristSeason, summer]
-
A.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
B.
summerTouristSeason
Indicates the period during summer when a place experiences increased tourist activity or visitation.
-
C.
popularTimeToVisit
chosen
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
D.
winterTouristSeason
Indicates that the relationship or context occurs during the winter period when tourism activity is at its peak or is specifically targeted.
-
E.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 9:38 a.m.