Triple
T20784973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Borg |
E511604
|
entity |
| Predicate | consecutiveWimbledonSinglesTitles |
P141532
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Björn Borg, consecutiveWimbledonSinglesTitles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveWimbledonSinglesTitles Context triple: [Björn Borg, consecutiveWimbledonSinglesTitles, 5]
-
A.
wimbledonSinglesTitles
Indicates the number of Wimbledon singles championship titles an entity has won.
-
B.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
C.
WimbledonSinglesSemifinalAppearances
Indicates the number of times an entity has reached the singles semifinal round at the Wimbledon tennis tournament.
-
D.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
E.
lastWimbledonSinglesTitleYear
Indicates the calendar year in which an entity most recently won a Wimbledon singles 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:38 p.m.