Triple
T29528503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegro in B-flat major, K. 3 |
E749132
|
entity |
| Predicate | hasKochelNumber |
P167005
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Allegro in B-flat major, K. 3, hasKochelNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKochelNumber Context triple: [Allegro in B-flat major, K. 3, hasKochelNumber, 3]
-
A.
hasWorkNumberInBachGesellschaft
Indicates that an entity is assigned a specific work number in the Bach-Gesellschaft (BG) catalog of Bach’s compositions.
-
B.
hasOpusNumber
Indicates that a musical work is associated with a specific opus number assigned to it, typically denoting its place in a composer’s catalog.
-
C.
hasWKN
Indicates that an entity is associated with a specific Wertpapierkennnummer (WKN), i.e., a unique German securities identification code.
-
D.
hasHornbostelSachsNumber
Indicates that an entity (typically a musical instrument) is assigned a specific Hornbostel–Sachs classification number that encodes its type and method of sound production.
-
E.
hasMusicalNumberIn
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
- F. None of above. chosen
Provenance (4 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9efdfc8190b2137dc6e1685baf |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:49 p.m.