Triple
T36396650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimbledon gentlemen’s singles 1886 |
E896501
|
entity |
| Predicate | winnerSetsWonInFinal |
P190392
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Wimbledon gentlemen’s singles 1886, winnerSetsWonInFinal, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerSetsWonInFinal Context triple: [Wimbledon gentlemen’s singles 1886, winnerSetsWonInFinal, 3]
-
A.
runnerUpSetsWonInFinal
Indicates the number of sets won by the runner-up in the final match of a competition.
-
B.
firstWinnerFinals
Indicates that the subject entity is the winner of the first finals event or match in a given competition or series.
-
C.
wonGrandPrixFinal
Indicates that an entity achieved victory in the final round of a Grand Prix competition.
-
D.
conferenceFinalsGamesWon
Indicates the number of games a team has won in the conference finals stage of a competition.
-
E.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:10 p.m.