Triple
T29162226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why There Almost Certainly Is No God |
E739216
|
entity |
| Predicate | chapterNumberInTheGodDelusion |
P14913
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Why There Almost Certainly Is No God, chapterNumberInTheGodDelusion, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterNumberInTheGodDelusion Context triple: [Why There Almost Certainly Is No God, chapterNumberInTheGodDelusion, 4]
-
A.
chapterNumber
chosen
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
B.
gospelChapter
Indicates that one entity is a specific chapter within a particular gospel text or book.
-
C.
chapterNumberInLuke
Indicates the chapter number that a referenced passage or event appears in within the Book of Luke.
-
D.
scripturalChapters
Indicates that one entity is composed of, contains, or is divided into the specified scriptural chapters.
-
E.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
- 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f662d2056081909eb1b5fdd188816b |
completed | May 2, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:48 a.m.