Triple
T12918631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantata V |
E309054
|
entity |
| Predicate | workSeriesSize |
P80358
|
FINISHED |
| Object | six cantatas in the Christmas Oratorio |
—
|
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: six cantatas in the Christmas Oratorio | Statement: [Cantata V, workSeriesSize, six cantatas in the Christmas Oratorio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSeriesSize Context triple: [Cantata V, workSeriesSize, six cantatas in the Christmas Oratorio]
-
A.
seriesSize
chosen
Indicates the total number of items or installments that make up a complete series.
-
B.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
C.
workSeriesConcept
Indicates that a work is part of, or related to, a broader series concept that groups multiple works together.
-
D.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
E.
hasWorkSeries
Indicates that one work belongs to, or is part of, a larger series of related works.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.