Triple
T35608520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SC Paderborn 07 |
E1028966
|
entity |
| Predicate | shirtManufacturer |
P183455
|
FINISHED |
| Object | Saller (historical) |
—
|
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: Saller (historical) | Statement: [SC Paderborn 07, shirtManufacturer, Saller (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shirtManufacturer Context triple: [SC Paderborn 07, shirtManufacturer, Saller (historical)]
-
A.
shirtSymbol
Indicates that one entity bears, displays, or is marked with a particular symbol on a shirt.
-
B.
shirtColor
Indicates the color attribute associated with a shirt.
-
C.
shirtPatternHome
Indicates the pattern or design featured on a team's home shirt or primary uniform.
-
D.
shirtNumberType
Indicates the type or category of a shirt number assigned to an entity (for example, a player’s jersey number type).
-
E.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.