Triple
T37898674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonata No. 30 in E major, Op. 109 |
E945347
|
entity |
| Predicate | languageOfMovementMarkings |
P201624
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Piano Sonata No. 30 in E major, Op. 109, languageOfMovementMarkings, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMovementMarkings Context triple: [Piano Sonata No. 30 in E major, Op. 109, languageOfMovementMarkings, Italian]
-
A.
languageOfMarking
chosen
Indicates the language used for labels, annotations, or other markings associated with an entity.
-
B.
colorMarkings
Indicates that one entity has specific color-based markings or patterns in relation to another entity.
-
C.
coatMarkings
Indicates how an entity’s coat is patterned or marked, such as stripes, spots, or other distinctive visual markings.
-
D.
leafMarkings
Indicates the presence, pattern, or characteristics of markings found on the surface of a leaf.
-
E.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01c21d8bc481909dd9f5a6b89c0a92 |
completed | May 11, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a01bff5d1508190895e5bd2c04932b0 |
completed | May 11, 2026, 11:39 a.m. |
Created at: May 3, 2026, 4:19 p.m.