Triple
T30889985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children's and Household Tales |
E786872
|
entity |
| Predicate | firstEditionVolumeCount |
P17539
|
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: [Children's and Household Tales, firstEditionVolumeCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionVolumeCount Context triple: [Children's and Household Tales, firstEditionVolumeCount, 2]
-
A.
firstEditionVolumes
chosen
Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
-
B.
pageCountFirstEdition
Indicates the number of pages contained in the first edition of an item.
-
C.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
D.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
E.
firstEditionCategory
Indicates that an item belongs to a category specifically defined for its first edition.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a03446ec72881909c5ff25a48baadb3 |
completed | May 12, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_6a03439b393c819084aa9b7ed0d5b6b0 |
completed | May 12, 2026, 3:13 p.m. |
Created at: April 29, 2026, 8:49 p.m.