Triple
T1524700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1733 Montagnana cello |
E32308
|
entity |
| Predicate | tuningOfInstrument |
P30142
|
FINISHED |
| Object | C2–G2–D3–A3 |
—
|
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: C2–G2–D3–A3 | Statement: [1733 Montagnana cello, tuningOfInstrument, C2–G2–D3–A3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuningOfInstrument Context triple: [1733 Montagnana cello, tuningOfInstrument, C2–G2–D3–A3]
-
A.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
B.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
C.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
D.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
E.
instrument
Indicates that an action is carried out using a particular tool, means, or implement as its instrument.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.