Triple
T6251610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appalachian dulcimer |
E140056
|
entity |
| Predicate | hasHornbostelSachsNumber |
P69341
|
FINISHED |
| Object | 314.122-5 |
—
|
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: 314.122-5 | Statement: [Appalachian dulcimer, hasHornbostelSachsNumber, 314.122-5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHornbostelSachsNumber Context triple: [Appalachian dulcimer, hasHornbostelSachsNumber, 314.122-5]
-
A.
usesMusicalSystem
Indicates that one entity employs or operates according to a particular musical system, framework, or set of musical rules.
-
B.
hasSyllabary
Indicates that one entity possesses or is associated with a specific syllabary writing system used to represent its language or notation.
-
C.
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.
-
D.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
E.
hasLimitedConsonantInventory
Indicates that a language possesses a relatively small set of distinct consonant sounds in its phonological system.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633fb2ac8190b71b8e35fa923300 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:24 p.m.