Triple
T33736203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galatians 4:26 |
E864419
|
entity |
| Predicate | contextWithinChapter |
P154189
|
FINISHED |
| Object | allegory of Hagar and Sarah |
—
|
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: allegory of Hagar and Sarah | Statement: [Galatians 4:26, contextWithinChapter, allegory of Hagar and Sarah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextWithinChapter Context triple: [Galatians 4:26, contextWithinChapter, allegory of Hagar and Sarah]
-
A.
chapterContext
chosen
Indicates that one element provides the surrounding chapter or section in which another element appears or is relevant.
-
B.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
C.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
-
D.
gameChapterRelevance
Indicates how strongly a particular chapter is related or important to a specific game.
-
E.
chapterMentioned
Indicates that a specific chapter is referenced or cited within a given context or source.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 1:44 a.m.