Triple
T1212516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Knowledge, Error, and Probable Opinion" |
E26032
|
entity |
| Predicate | isChapterOf |
P6720
|
FINISHED |
| Object | a work first published in 1912 |
—
|
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: a work first published in 1912 | Statement: ["Knowledge, Error, and Probable Opinion", isChapterOf, a work first published in 1912]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChapterOf Context triple: ["Knowledge, Error, and Probable Opinion", isChapterOf, a work first published in 1912]
-
A.
containsChapter
chosen
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
B.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
-
C.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
D.
isFinalChapterOf
Indicates that one entity is the concluding or last chapter within the sequence of chapters of another entity (typically a work or volume).
-
E.
numberOfChapters
Indicates the total count of chapters associated with a given 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.