Triple
T37566957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springbok Sevens |
E933981
|
entity |
| Predicate | rugbyWorldCupSevensBestResult |
P88353
|
FINISHED |
| Object | champions 2022 |
—
|
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: champions 2022 | Statement: [Springbok Sevens, rugbyWorldCupSevensBestResult, champions 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rugbyWorldCupSevensBestResult Context triple: [Springbok Sevens, rugbyWorldCupSevensBestResult, champions 2022]
-
A.
worldCupSevensTitles
chosen
Indicates the number of World Cup Sevens championship titles an entity has won.
-
B.
worldCupOverallBestResult
Indicates the best overall performance or highest finishing position an entity has achieved in any edition of the FIFA World Cup.
-
C.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
D.
WorldCupOverallBestResult
Indicates the best performance or highest finishing position an entity has ever achieved in any edition of the World Cup.
-
E.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.