Triple
T18972441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999–2000 America’s Cup |
E464201
|
entity |
| Predicate | defenderYachtSailNumber |
P36730
|
FINISHED |
| Object | NZL 60 |
—
|
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: NZL 60 | Statement: [1999–2000 America’s Cup, defenderYachtSailNumber, NZL 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defenderYachtSailNumber Context triple: [1999–2000 America’s Cup, defenderYachtSailNumber, NZL 60]
-
A.
sailNumber
chosen
Indicates the identifying number assigned to a specific sail or sailing vessel, typically used to distinguish it from others.
-
B.
sailArea
Indicates the total surface area of a vessel’s sails used to catch wind for propulsion.
-
C.
hullNumber
Indicates the unique identifying number assigned to the hull of a ship or vessel.
-
D.
numberOfSails
Indicates the quantity of sails associated with an entity, such as a boat or ship.
-
E.
sailSideLength
Indicates that one entity specifies or measures the length of the side of a sail associated with another entity.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61cb3ac8190bfe29104166fa090 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon