Triple
T17299799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 America’s Cup |
E420010
|
entity |
| Predicate | classOfBoat |
P24983
|
FINISHED |
| Object | Deed of Gift multihulls |
—
|
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: Deed of Gift multihulls | Statement: [2010 America’s Cup, classOfBoat, Deed of Gift multihulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classOfBoat Context triple: [2010 America’s Cup, classOfBoat, Deed of Gift multihulls]
-
A.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
B.
IMOCategory
Indicates the classification of an entity according to the International Mathematical Olympiad (IMO) category it belongs to.
-
C.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
D.
craftType
chosen
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.