Triple
T10398571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Xavier Garneau |
E245083
|
entity |
| Predicate | numberOfVolumesOfNotableWork |
P2734
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [François-Xavier Garneau, numberOfVolumesOfNotableWork, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVolumesOfNotableWork Context triple: [François-Xavier Garneau, numberOfVolumesOfNotableWork, 3]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
numberOfVolumes
chosen
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
C.
lightNovelVolumesCount
Indicates the number of volumes that exist for a given light novel.
-
D.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
E.
estimatedVolumeOfWritings
Indicates the approximate total quantity or volume of writings attributed to or produced by an 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:07 p.m.