Triple
T25860337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suda |
E651460
|
entity |
| Predicate | alphabeticalSystem |
P20857
|
FINISHED |
| Object | Byzantine phonetic order |
—
|
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: Byzantine phonetic order | Statement: [Suda, alphabeticalSystem, Byzantine phonetic order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphabeticalSystem Context triple: [Suda, alphabeticalSystem, Byzantine phonetic order]
-
A.
alphabetic
Indicates that the characters in a string or sequence consist solely of letters from an alphabet, with no digits or special symbols.
-
B.
alphabet
chosen
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
C.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
-
D.
alphabeticStatus
Indicates the relative ordering or position of entities based on alphabetical sequence.
-
E.
alphabeticCode
Indicates that one entity is identified or represented by a specific alphabetic code assigned to it.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:05 a.m.