Triple
T6740304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cattle |
E154062
|
entity |
| Predicate | isChapterNumber |
P14913
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [The Cattle, isChapterNumber, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChapterNumber Context triple: [The Cattle, isChapterNumber, 6]
-
A.
chapterNumber
chosen
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
B.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
C.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
D.
isSectionNumber
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
-
E.
verseNumber
Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18971e081908372cd25d52a11bd |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.