Triple
T1835164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cappadocian Greek |
E41048
|
entity |
| Predicate | linguisticClassificationDebate |
P10465
|
FINISHED |
| Object | sometimes classified as a mixed language |
—
|
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: sometimes classified as a mixed language | Statement: [Cappadocian Greek, linguisticClassificationDebate, sometimes classified as a mixed language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticClassificationDebate Context triple: [Cappadocian Greek, linguisticClassificationDebate, sometimes classified as a mixed language]
-
A.
linguisticClassification
chosen
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
B.
mainLinguisticCleavage
Indicates the primary division or contrast within a linguistic system or community, such as a major split between language varieties, dialects, or language groups.
-
C.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.