Triple
T3841415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmslow Rugby Club |
E93457
|
entity |
| Predicate | codeOfRugby |
P52337
|
FINISHED |
| Object | rugby union |
—
|
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: rugby union | Statement: [Wilmslow Rugby Club, codeOfRugby, rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeOfRugby Context triple: [Wilmslow Rugby Club, codeOfRugby, rugby union]
-
A.
worldRugbyCode
Indicates that an entity is governed by, follows, or is classified under a specific code or set of rules defined by World Rugby.
-
B.
worldRugbyTrigramme
Indicates that an entity is associated with a specific three-letter code (trigram) used by World Rugby to identify national rugby teams or unions.
-
C.
worldRugbyMember
Indicates that an entity is a member organization or affiliated body of World Rugby.
-
D.
worldRugbyRankingBest
Indicates that the subject entity holds the highest (best) position in the World Rugby rankings among the compared entities.
-
E.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:18 p.m.