Triple
T17299761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America’s Cup |
E420009
|
entity |
| Predicate | firstNonUSWinnerYear |
P126884
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [America’s Cup, firstNonUSWinnerYear, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNonUSWinnerYear Context triple: [America’s Cup, firstNonUSWinnerYear, 1983]
-
A.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
B.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
C.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
notableFirstWinner
Indicates that the subject is the first and notably recognized winner of the object (such as an award, competition, or title).
- 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_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. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:41 a.m.