Triple
T22196523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV 315 (Summer) |
E548562
|
entity |
| Predicate | workNumberInOpus8 |
P146796
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [RV 315 (Summer), workNumberInOpus8, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInOpus8 Context triple: [RV 315 (Summer), workNumberInOpus8, 2]
-
A.
authorWorkNumber
Indicates the specific ordinal number or position of a work within an author's body of works.
-
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.
workNumberInDeRePublica
Indicates that an entity has a specific work number or index within the collection or edition of "De Re Publica."
-
D.
workNumberWithinOratorio
Indicates that a specific work is identified by its numerical position within an oratorio.
-
E.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae7c72081909b7817d66391bef4 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.