Triple
T9277292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FestspielOrchester Göttingen |
E222980
|
entity |
| Predicate | notableRepertoire |
P3738
|
FINISHED |
| Object | works by George Frideric Handel |
—
|
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: works by George Frideric Handel | Statement: [FestspielOrchester Göttingen, notableRepertoire, works by George Frideric Handel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRepertoire Context triple: [FestspielOrchester Göttingen, notableRepertoire, works by George Frideric Handel]
-
A.
notabilityInRepertoire
Indicates that a work holds particular significance or prominence within an entity’s repertoire.
-
B.
repertoireIncludes
chosen
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
C.
notableRiff
Indicates that an entity is recognized for having a distinctive, memorable, or influential musical riff associated with it.
-
D.
notableComposition
Indicates that an entity is a significant or well-known work created by another entity, such as a notable musical, literary, or artistic composition.
-
E.
notableSongbook
Indicates that there is a notable or significant songbook associated with the given 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07c95a98819098528b7ada37ddc1 |
completed | April 1, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.