Triple
T35707235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Wimbledon Championships |
E1031750
|
entity |
| Predicate | wheelchairWomenSinglesChampion |
P157768
|
FINISHED |
| Object | Jordanne Whiley |
—
|
NE NERFINISHED |
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: Jordanne Whiley | Statement: [2016 Wimbledon Championships, wheelchairWomenSinglesChampion, Jordanne Whiley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelchairWomenSinglesChampion Context triple: [2016 Wimbledon Championships, wheelchairWomenSinglesChampion, Jordanne Whiley]
-
A.
wheelchairChampion
chosen
Indicates that an entity has won a championship or major title in a wheelchair-based sport or competition.
-
B.
wheelchairDivision
Indicates that an entity participates in or is associated with a competition, league, or category specifically designated for wheelchair users.
-
C.
wheelchairEventsIncluded
Indicates that the specified events explicitly include or accommodate the use of wheelchairs.
-
D.
ladiesSinglesChampion
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
E.
womenAllAroundChampion
Indicates that women are present surrounding or on all sides of the champion.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.