Triple
T31693033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISAF Sailing World Cup |
E808842
|
entity |
| Predicate | numberOfEventsPerSeason |
P12655
|
FINISHED |
| Object | multiple regattas |
—
|
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: multiple regattas | Statement: [ISAF Sailing World Cup, numberOfEventsPerSeason, multiple regattas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEventsPerSeason Context triple: [ISAF Sailing World Cup, numberOfEventsPerSeason, multiple regattas]
-
A.
typicalNumberOfMeetingsPerSeason
chosen
Indicates the usual or average count of meetings that occur within a single season.
-
B.
partOfSeasonCount
Indicates that an entity represents the number of parts or segments that make up a particular season.
-
C.
hasSeasonalEvents
Indicates that an entity organizes or experiences events that occur only during specific seasons or times of the year.
-
D.
typicalNumberOfStopsPerSeason
Indicates the usual or average count of stops that occur in a single season.
-
E.
totalMatchesPerSeason
Indicates the total number of matches associated with an entity within a single season.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0136e4af808190b529d324bbf0c5d9 |
completed | May 11, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_6a01369141c4819091cb8064913a44ca |
completed | May 11, 2026, 1:53 a.m. |
Created at: April 30, 2026, 11:09 p.m.