Triple
T15475778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kanklės |
E376776
|
entity |
| Predicate | notatedWith |
P118399
|
FINISHED |
| Object | staff notation |
—
|
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: staff notation | Statement: [kanklės, notatedWith, staff notation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notatedWith Context triple: [kanklės, notatedWith, staff notation]
-
A.
annotatedBy
Indicates that one entity has been marked up, commented on, or otherwise supplied with annotations by another entity.
-
B.
commentatedFor
Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
-
C.
adornedWith
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
D.
annexedBy
Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
-
E.
notableOrnamental
Indicates that something is recognized as a particularly significant or distinguished example of ornamental decoration or design.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:34 a.m.