Triple
T18490797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesuit Relations |
E451809
|
entity |
| Predicate | numberOfVolumesInThwaitesEdition |
P2734
|
FINISHED |
| Object | 73 |
—
|
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: 73 | Statement: [Jesuit Relations, numberOfVolumesInThwaitesEdition, 73]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVolumesInThwaitesEdition Context triple: [Jesuit Relations, numberOfVolumesInThwaitesEdition, 73]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
11thEditionNumberOfVolumes
Indicates the total number of volumes contained in the 11th edition of a work.
-
C.
15thEditionNumberOfVolumes
Indicates the total number of volumes contained in the 15th edition of a work or publication.
-
D.
numberOfVolumes
chosen
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
E.
hasSecondEditionNumberOfVolumes
Indicates that an entity’s second edition consists of a specified number of volumes.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531db64b8819089f638718dddb1dc |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.