Triple
T23853023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezekiel 3:12 |
E592223
|
entity |
| Predicate | chapterContext |
P154189
|
FINISHED |
| Object | Ezekiel 3 |
—
|
NE NERFINISHED |
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: Ezekiel 3 | Statement: [Ezekiel 3:12, chapterContext, Ezekiel 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterContext Context triple: [Ezekiel 3:12, chapterContext, Ezekiel 3]
-
A.
chapterBefore
Indicates that one chapter occurs earlier in sequence or order than another chapter.
-
B.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
C.
chapterAfter
Indicates that one chapter directly follows another in a sequential ordering.
-
D.
chapterMentioned
Indicates that a specific chapter is referenced or cited within a given context or source.
-
E.
sectionContext
Indicates that one element occurs within the contextual scope or environment defined by a particular section of a larger structure or document.
- F. None of above. chosen
Provenance (4 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:11 p.m.