Triple
T19190809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Argerich Festival in Lugano |
E469830
|
entity |
| Predicate | focusesOnInstrument |
P17140
|
FINISHED |
| Object | piano |
—
|
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: piano | Statement: [Martha Argerich Festival in Lugano, focusesOnInstrument, piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnInstrument Context triple: [Martha Argerich Festival in Lugano, focusesOnInstrument, piano]
-
A.
primaryInstrumentalFocus
chosen
Indicates that one entity serves as the main or most emphasized instrument or means by which another entity performs an action or achieves an effect.
-
B.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
reliesOnInstrument
Indicates that an action or process depends on or is carried out using a particular instrument or tool.
-
D.
tuningOfInstrument
Indicates the specific tuning configuration or pitch arrangement applied to a musical instrument.
-
E.
positionOnInstruments
Indicates the specific role or seat an individual holds within a group of instruments, such as in an orchestra or ensemble.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a16e20819080baa5112f000b41 |
completed | April 20, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.