Triple
T26758203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exilliteratur |
E674724
|
entity |
| Predicate | hatCharakteristikum |
P662
|
FINISHED |
| Object | Mehrsprachigkeit und Sprachmischung |
—
|
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: Mehrsprachigkeit und Sprachmischung | Statement: [Exilliteratur, hatCharakteristikum, Mehrsprachigkeit und Sprachmischung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hatCharakteristikum Context triple: [Exilliteratur, hatCharakteristikum, Mehrsprachigkeit und Sprachmischung]
-
A.
hatCharakter
Indicates that an entity possesses or exhibits a particular character, trait, or quality.
-
B.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
C.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
D.
tailCharacteristic
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
E.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 3:56 a.m.