Triple
T28471012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἀδείμαντος |
E720435
|
entity |
| Predicate | LatinAlphabetForm |
P163866
|
FINISHED |
| Object | Adeimantus |
—
|
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: Adeimantus | Statement: [Ἀδείμαντος, LatinAlphabetForm, Adeimantus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LatinAlphabetForm Context triple: [Ἀδείμαντος, LatinAlphabetForm, Adeimantus]
-
A.
usesLatinAlphabetSince
Indicates that an entity has employed the Latin alphabet as its writing system starting from a specific point in time and continuing thereafter.
-
B.
usesLatinOrthography
chosen
Indicates that the subject’s written form is represented using the Latin (Roman) alphabet.
-
C.
alphabetSizeLatin
Indicates the number of distinct letters in the Latin alphabet used in a given context or system.
-
D.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
-
E.
usesAlphabet
Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee1c4d08190ba95b02f3aa0ca67 |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:48 a.m.