Triple
T35210446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1992 America’s Cup |
E1016658
|
entity |
| Predicate | usedBoatClassForFirstTime |
P193330
|
FINISHED |
| Object | International America’s Cup Class |
—
|
NE NERFINISHED |
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: International America’s Cup Class | Statement: [1992 America’s Cup, usedBoatClassForFirstTime, International America’s Cup Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBoatClassForFirstTime Context triple: [1992 America’s Cup, usedBoatClassForFirstTime, International America’s Cup Class]
-
A.
usedBoatStudioOn
Indicates that one entity made use of a particular boat studio facility or space.
-
B.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
-
C.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
D.
hasTraditionalBoatType
Indicates that an entity is associated with or characterized by a specific traditional type of boat.
-
E.
boatTraveledOn
Indicates that a boat moved or was transported along or across a specified body of water or route.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: May 3, 2026, 4:02 p.m.