Triple
T33703722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Country |
E863527
|
entity |
| Predicate | hasISBNForCommonEdition |
P3840
|
FINISHED |
| Object | 9780679761044 |
—
|
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: 9780679761044 | Statement: [Snow Country, hasISBNForCommonEdition, 9780679761044]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasISBNForCommonEdition Context triple: [Snow Country, hasISBNForCommonEdition, 9780679761044]
-
A.
hasAlternateEditionISBN
Indicates that one edition of a work is linked to another edition of the same work via its alternate ISBN.
-
B.
hasISBNAdaptation
Indicates that one work has an adaptation that is identified or cataloged by a specific ISBN.
-
C.
hasPaperbackEdition
Indicates that one entity has a corresponding edition of itself that is published in paperback format.
-
D.
hasISBNInCollection
Indicates that a particular ISBN is present within a specified collection of items or works.
-
E.
isbn13
chosen
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:43 a.m.