Triple
T30108106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acts and Catholic Epistles in Byzantine textform |
E765185
|
entity |
| Predicate | hasTextTypeScope |
P10348
|
FINISHED |
| Object | Acts of the Apostles in Byzantine textform |
—
|
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: Acts of the Apostles in Byzantine textform | Statement: [Acts and Catholic Epistles in Byzantine textform, hasTextTypeScope, Acts of the Apostles in Byzantine textform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextTypeScope Context triple: [Acts and Catholic Epistles in Byzantine textform, hasTextTypeScope, Acts of the Apostles in Byzantine textform]
-
A.
hasKeyTextType
Indicates that something is associated with a primary or defining type of textual content used as its key or main text.
-
B.
haveMajorTextTypes
chosen
Indicates that an entity possesses or is associated with specific primary categories or types of texts.
-
C.
hasTitleScope
Indicates that a title or designation applies within a specific scope, context, or domain rather than universally.
-
D.
hasTypeOfTextSetting
Indicates that an entity is associated with a particular configuration or style that determines how its text is presented or formatted.
-
E.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 29, 2026, 7:10 p.m.