Triple
T12521834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pas de Peyrol |
E299336
|
entity |
| Predicate | isOftenClosedInSeason |
P105428
|
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: [Pas de Peyrol, isOftenClosedInSeason, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenClosedInSeason Context triple: [Pas de Peyrol, isOftenClosedInSeason, winter]
-
A.
operatedSeasonallyFrom
Indicates that an entity was in operation only during specific seasons or periods within a given timeframe.
-
B.
typicalNumberOfStopsPerSeason
Indicates the usual or average count of stops that occur in a single season.
-
C.
seasonOpeningOrClosing
Indicates that an event marks either the beginning or the end of a particular season.
-
D.
closedSeason
Indicates that a period of time is designated during which a particular activity (such as hunting, fishing, or harvesting) is legally prohibited or restricted.
-
E.
hasSeasonalParticipationIn
Indicates that an entity takes part in or is involved with another entity only during specific seasons or recurring seasonal periods.
- F. None of above. chosen
Provenance (4 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.