Triple
T32523665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFB |
E831246
|
entity |
| Predicate | hasAlternativePoliticalBrand |
P192387
|
FINISHED |
| Object | Fédération Wallonie-Bruxelles |
—
|
NE NERFINISHED |
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: Fédération Wallonie-Bruxelles | Statement: [CFB, hasAlternativePoliticalBrand, Fédération Wallonie-Bruxelles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativePoliticalBrand Context triple: [CFB, hasAlternativePoliticalBrand, Fédération Wallonie-Bruxelles]
-
A.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
-
B.
hasAlternativeProfile
Indicates that an entity is associated with another profile that serves as an alternative or secondary representation of it.
-
C.
hasNotableSubBrand
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
-
D.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
E.
hasAlternativeProgram
Indicates that one program is an alternative option or substitute for another program.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: May 1, 2026, 1:01 a.m.