Triple
T8896400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robinson–Pierpont Byzantine Greek New Testament editions |
E211814
|
entity |
| Predicate | textualBase |
P34597
|
FINISHED |
| Object | continuous-text Byzantine manuscripts |
—
|
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: continuous-text Byzantine manuscripts | Statement: [Robinson–Pierpont Byzantine Greek New Testament editions, textualBase, continuous-text Byzantine manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualBase Context triple: [Robinson–Pierpont Byzantine Greek New Testament editions, textualBase, continuous-text Byzantine manuscripts]
-
A.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
D.
textuallySystematizedBy
Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
-
E.
hasTextualBase
chosen
Indicates that one entity serves as the underlying textual source or foundation upon which another entity is based or derived.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bfec0881908e4ef5b7f0e6b542 |
completed | April 1, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.