Triple
T36561638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heineken Cup |
E901852
|
entity |
| Predicate | finalVenueVariedBySeason |
P198302
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Heineken Cup, finalVenueVariedBySeason, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalVenueVariedBySeason Context triple: [Heineken Cup, finalVenueVariedBySeason, true]
-
A.
hasSummerVenue
Indicates that an entity uses or is associated with a particular venue specifically for summer activities or during the summer season.
-
B.
hasSeasonalEvents
Indicates that an entity organizes or experiences events that occur only during specific seasons or times of the year.
-
C.
isTemporaryVenueFor
Indicates that one place serves as a non-permanent or short-term location for hosting an event, activity, or organization.
-
D.
returnedAsSeasonalAttraction
Indicates that an entity that was previously unavailable has come back into use or display specifically as a limited-time or seasonal attraction.
-
E.
internationalVenueFor
Indicates that a location serves as a host or site for events, activities, or functions involving participants or audiences from multiple countries.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
| PDg | Predicate description generation | batch_69fed83a3b8c819092a3bd1ca9d9b38b |
completed | May 9, 2026, 6:46 a.m. |
Created at: May 3, 2026, 4:11 p.m.