Triple
T22244443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Roten |
E549805
|
entity |
| Predicate | isColorBasedNickname |
P52080
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Die Roten, isColorBasedNickname, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isColorBasedNickname Context triple: [Die Roten, isColorBasedNickname, true]
-
A.
kitColorsNickname
chosen
Indicates that a particular kit color scheme is associated with or referred to by a specific nickname.
-
B.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
C.
hasNicknameStatus
Indicates that an entity holds a particular status or classification specifically related to its nickname.
-
D.
usesNicknameOf
Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
-
E.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132170e5081909b9dbb204abf2a45 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.