Triple
T22244453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Roten |
E549805
|
entity |
| Predicate | usedInWrittenGerman |
P907
|
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, usedInWrittenGerman, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInWrittenGerman Context triple: [Die Roten, usedInWrittenGerman, true]
-
A.
usedInLanguage
chosen
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
B.
usedInWriting
Indicates that something (such as a tool, material, or medium) is employed as part of the process or act of writing.
-
C.
usedInSpokenForm
Indicates that something (such as a word, name, or expression) is employed in spoken language or oral communication.
-
D.
usedInEuropeanContext
Indicates that something is applied, referenced, or occurs specifically within a European geographical, cultural, legal, or institutional context.
-
E.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
- 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.