Triple
T38387606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ce qu’a vu le vent d’ouest |
E899619
|
entity |
| Predicate | frequentProgrammingContext |
P190913
|
FINISHED |
| Object | solo piano recital repertoire |
—
|
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: solo piano recital repertoire | Statement: [Ce qu’a vu le vent d’ouest, frequentProgrammingContext, solo piano recital repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentProgrammingContext Context triple: [Ce qu’a vu le vent d’ouest, frequentProgrammingContext, solo piano recital repertoire]
-
A.
typicalProgrammingContext
Indicates that an entity is commonly or normally used, found, or applicable within a given programming context or environment.
-
B.
commonProgramming
Indicates that two or more entities share knowledge of, use, or are associated with the same programming language(s) or programming-related practices.
-
C.
typicalProgrammingSource
Indicates that one entity is a common or standard source from which the other entity obtains programming content or code.
-
D.
formerProgrammingFocus
Indicates that an entity previously concentrated on a particular programming-related area or activity, but no longer does so.
-
E.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.