Triple
T19308770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis and Development of a Scientific Fact |
E482909
|
entity |
| Predicate | ISBNOfEnglishEdition |
P20928
|
FINISHED |
| Object | 9780226253251 |
—
|
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: 9780226253251 | Statement: [Genesis and Development of a Scientific Fact, ISBNOfEnglishEdition, 9780226253251]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISBNOfEnglishEdition Context triple: [Genesis and Development of a Scientific Fact, ISBNOfEnglishEdition, 9780226253251]
-
A.
isbnFirstEnglishEdition
chosen
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
-
B.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
C.
EnglishEditionPublicationYear
Indicates the calendar year in which the English-language edition of a work was first published.
-
D.
isbn13
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
-
E.
isbnHardcoverUK
Indicates that the entity has a specific ISBN corresponding to its hardcover edition published in the United Kingdom.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cb47c88190bd01e6f5f4d2204f |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.