Triple
T1996381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nausithous |
E43368
|
entity |
| Predicate | nameScript |
P16426
|
FINISHED |
| Object | Greek alphabet |
—
|
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: Greek alphabet | Statement: [Nausithous, nameScript, Greek alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameScript Context triple: [Nausithous, nameScript, Greek alphabet]
-
A.
scriptName
Indicates the name or title of a script associated with an entity, typically identifying which script is used, referenced, or executed in a given context.
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
characterSetName
chosen
Indicates the name assigned to a particular character set used for encoding or representing characters.
-
D.
transcribedName
Indicates that one entity is a written or phonetic rendering of another entity’s name, typically adapted to a different script, language, or transcription system.
-
E.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.