Triple
T36380780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cello Concerto in E minor |
E896038
|
entity |
| Predicate | languageOfMusicalCulture |
P151586
|
FINISHED |
| Object | Armenian |
—
|
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: Armenian | Statement: [Cello Concerto in E minor, languageOfMusicalCulture, Armenian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMusicalCulture Context triple: [Cello Concerto in E minor, languageOfMusicalCulture, Armenian]
-
A.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
B.
inMusicCulture
chosen
Indicates that something is part of, associated with, or situated within a particular music-related cultural context or tradition.
-
C.
languageOfMusicalStyle
Indicates the language in which a particular musical style is typically expressed, performed, or characterized.
-
D.
languageOfMusicalTerms
Indicates the language in which specific musical terms are expressed or defined.
-
E.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a012594c27081908c80f0e0e6010290 |
completed | May 11, 2026, 12:40 a.m. |
| PD | Predicate disambiguation | batch_6a01252350548190b1df9edc9e581e91 |
completed | May 11, 2026, 12:38 a.m. |
Created at: May 3, 2026, 4:10 p.m.