Triple
T22463401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Province Rugby Football Union |
E555285
|
entity |
| Predicate | associatedTeamNickname |
P5076
|
FINISHED |
| Object | Province |
—
|
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: Province | Statement: [Western Province Rugby Football Union, associatedTeamNickname, Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTeamNickname Context triple: [Western Province Rugby Football Union, associatedTeamNickname, Province]
-
A.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
B.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
-
C.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
stateTeamOf
Indicates that one entity is the official team representing a particular state associated with another entity.
-
E.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.