Triple
T29028980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wie aus der Ferne (No. 17) |
E737673
|
entity |
| Predicate | notationFeatures |
P156324
|
FINISHED |
| Object | expressive phrasing marks |
—
|
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: expressive phrasing marks | Statement: [Wie aus der Ferne (No. 17), notationFeatures, expressive phrasing marks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notationFeatures Context triple: [Wie aus der Ferne (No. 17), notationFeatures, expressive phrasing marks]
-
A.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
B.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
C.
noteCharacteristic
chosen
Indicates that one entity records, marks, or specifies a particular characteristic or attribute of another entity.
-
D.
notationLanguage
Indicates the language or symbolic system in which a notation or formal representation is expressed.
-
E.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600bfbf081909eb61c47571e0277 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:54 a.m.