Triple
T4761779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creation of the world |
E105712
|
entity |
| Predicate | sourceTextDivision |
P9883
|
FINISHED |
| Object | Priestly account (Genesis 1:1–2:4a, in many scholarly views) |
—
|
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: Priestly account (Genesis 1:1–2:4a, in many scholarly views) | Statement: [Creation of the world, sourceTextDivision, Priestly account (Genesis 1:1–2:4a, in many scholarly views)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceTextDivision Context triple: [Creation of the world, sourceTextDivision, Priestly account (Genesis 1:1–2:4a, in many scholarly views)]
-
A.
textFragment
chosen
Indicates that one piece of text is a constituent part or segment of a larger text.
-
B.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
C.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
D.
canonicalDivision
Indicates that one entity is the standard or officially recognized subdivision or partition of another entity.
-
E.
divisionContext
Indicates the situational or conceptual setting in which a division operation or separation between entities takes place.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.