Triple
T29751780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Grün-Weißen |
E752918
|
entity |
| Predicate | colorGreenRepresents |
P38847
|
FINISHED |
| Object | SV Werder Bremen home kit |
—
|
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: SV Werder Bremen home kit | Statement: [Die Grün-Weißen, colorGreenRepresents, SV Werder Bremen home kit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorGreenRepresents Context triple: [Die Grün-Weißen, colorGreenRepresents, SV Werder Bremen home kit]
-
A.
greenRepresents
chosen
Indicates that one entity uses the color green to symbolize, denote, or stand for another entity or concept.
-
B.
yellowRepresents
Indicates that the color yellow is used to symbolize, denote, or stand for a particular entity, concept, or state in a given context.
-
C.
redColorRepresents
Indicates that one entity uses the color red to symbolize, denote, or stand for another entity or concept.
-
D.
blueRepresents
Indicates that the color blue is used to symbolize, denote, or stand for a particular concept, state, or category in a given context.
-
E.
greenPrimary_x
Indicates that the subject has green as its primary or dominant color.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 7:54 p.m.