Triple
T10958888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All England Open Badminton Championships |
E258913
|
entity |
| Predicate | womenParticipationBegan |
P50237
|
FINISHED |
| Object | 1899 |
—
|
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: 1899 | Statement: [All England Open Badminton Championships, womenParticipationBegan, 1899]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenParticipationBegan Context triple: [All England Open Badminton Championships, womenParticipationBegan, 1899]
-
A.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
B.
introducedWomenEventsIn
Indicates that a person introduced women as participants or attendees in a particular event or set of events.
-
C.
womenRaceFirstHeld
chosen
Indicates the date or event when a women’s race in a given context was first held.
-
D.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
E.
hadWomenOrganization
Indicates that an entity was associated with or involved in an organization focused on women or women’s issues.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77127b10481908ad1efafb2a338d1 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.