Triple
T31925795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa national rugby sevens team |
E815105
|
entity |
| Predicate | worldRugbySevensSeriesTitles |
P113636
|
FINISHED |
| Object | 2008–09 |
—
|
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: 2008–09 | Statement: [South Africa national rugby sevens team, worldRugbySevensSeriesTitles, 2008–09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRugbySevensSeriesTitles Context triple: [South Africa national rugby sevens team, worldRugbySevensSeriesTitles, 2008–09]
-
A.
worldCupSevensTitles
Indicates the number of World Cup Sevens championship titles an entity has won.
-
B.
worldCupSevensTitle
Indicates that an entity has won a World Cup Sevens championship title.
-
C.
worldRugbySevensSeriesTitle
chosen
Indicates that an entity has won a World Rugby Sevens Series championship title.
-
D.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
E.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 1, 2026, 12:03 a.m.