Triple
T18568557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Lions |
E453819
|
entity |
| Predicate | URCRegionGroup |
P5147
|
FINISHED |
| Object | South African franchises in United Rugby Championship |
—
|
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: South African franchises in United Rugby Championship | Statement: [Golden Lions, URCRegionGroup, South African franchises in United Rugby Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: URCRegionGroup Context triple: [Golden Lions, URCRegionGroup, South African franchises in United Rugby Championship]
-
A.
regionalGrouping
chosen
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
B.
formationRegion
Indicates the place or area where something originates, is created, or comes into being.
-
C.
nativeRegionOfMembers
Indicates the geographic region from which the members of a group or organization originally come.
-
D.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
E.
confluenceRegion
Indicates the region where two or more entities (typically flows, paths, or streams) merge or come together into a single combined course.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53affc3e08190b4d16b5ccb0bddbc |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.