Triple
T9430657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TH 26 |
E227364
|
entity |
| Predicate | workOpusNumber |
P85806
|
FINISHED |
| Object | Op. 29 |
—
|
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: Op. 29 | Statement: [TH 26, workOpusNumber, Op. 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOpusNumber Context triple: [TH 26, workOpusNumber, Op. 29]
-
A.
workNumbering
Indicates that a specific numbering or cataloging identifier is assigned to a work within a larger collection or system.
-
B.
worksNumber
Indicates that an entity is identified or referenced by a specific works number, typically denoting a particular work, item, or production instance.
-
C.
workCatalogueNumberOfWork
chosen
Indicates the catalogue number assigned to a specific work within a cataloging or classification system.
-
D.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
-
E.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.