Triple
T2294529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESV Large Print Bible |
E51579
|
entity |
| Predicate | textBasis |
P4593
|
FINISHED |
| Object | ESV translation text |
—
|
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: ESV translation text | Statement: [ESV Large Print Bible, textBasis, ESV translation text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textBasis Context triple: [ESV Large Print Bible, textBasis, ESV translation text]
-
A.
basedOnText
chosen
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
textType
Indicates the classification of a text according to its type, format, or genre.
-
D.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
E.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.