Triple
T32639014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Way |
E834428
|
entity |
| Predicate | seasonWithHighestTraffic |
P127382
|
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: [French Way, seasonWithHighestTraffic, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonWithHighestTraffic Context triple: [French Way, seasonWithHighestTraffic, summer]
-
A.
hasPeakVisitationSeason
chosen
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
B.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
C.
countryDuringPeak
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
D.
touristTraffic
Indicates the level, flow, or intensity of tourists visiting or moving through a particular place or area.
-
E.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:07 a.m.