Triple
T14142073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy national rugby union team |
E350451
|
entity |
| Predicate | bestRugbyWorldCupStage |
P112968
|
FINISHED |
| Object | pool stage |
—
|
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: pool stage | Statement: [Italy national rugby union team, bestRugbyWorldCupStage, pool stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestRugbyWorldCupStage Context triple: [Italy national rugby union team, bestRugbyWorldCupStage, pool stage]
-
A.
RugbyWorldCupRunnersUp
Indicates the relationship where a team is the runner-up (finishes in second place) in a Rugby World Cup tournament.
-
B.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
C.
RugbyWorldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the Rugby World Cup.
-
D.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
-
E.
worldCupCategory
Indicates that an entity is classified under a specific category or type related to the FIFA World Cup.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:48 a.m.