Triple
T31762396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ουαβαλλαθος |
E810716
|
entity |
| Predicate | GreekRenderingOf |
P3659
|
FINISHED |
| Object | Vaballathus |
—
|
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: Vaballathus | Statement: [Ουαβαλλαθος, GreekRenderingOf, Vaballathus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreekRenderingOf Context triple: [Ουαβαλλαθος, GreekRenderingOf, Vaballathus]
-
A.
recognizedAsGreekBy
Indicates that one entity is regarded or acknowledged as Greek by another entity.
-
B.
hasNameInGreek
chosen
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
C.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
D.
usesGreekLetterSystem
Indicates that one entity employs a writing, naming, or notation system based on Greek letters in relation to another entity or context.
-
E.
correspondsToGreekLetter
Indicates that something is associated with, represents, or is equivalent to a specific letter of the Greek alphabet.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab81a81c81908236f2956569b4a8 |
completed | May 3, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:31 p.m.