Triple
T9479205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand national rugby sevens team |
E228588
|
entity |
| Predicate | worldCupSevensTitles |
P88353
|
FINISHED |
| Object | multiple Rugby World Cup Sevens titles |
—
|
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: multiple Rugby World Cup Sevens titles | Statement: [New Zealand national rugby sevens team, worldCupSevensTitles, multiple Rugby World Cup Sevens titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupSevensTitles Context triple: [New Zealand national rugby sevens team, worldCupSevensTitles, multiple Rugby World Cup Sevens titles]
-
A.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
B.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
-
C.
RugbyWorldCupHosts
Indicates that the specified country (or countries) served as the official host nation(s) for a particular edition of the Rugby World Cup.
-
D.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
E.
WorldCupOverallTitles
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8014fd0c819093bd15816f3db357 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.