Triple
T11420698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonaguni |
E270608
|
entity |
| Predicate | isRecognizedAsDistinctFrom |
P9366
|
FINISHED |
| Object | Japanese dialects |
—
|
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: Japanese dialects | Statement: [Yonaguni, isRecognizedAsDistinctFrom, Japanese dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecognizedAsDistinctFrom Context triple: [Yonaguni, isRecognizedAsDistinctFrom, Japanese dialects]
-
A.
isDistinctFrom
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
B.
isDistinguishedBy
Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
-
C.
recognizedAsDistinctLanguageFrom
chosen
Indicates that one language is formally acknowledged or treated as a separate and distinct language from another, rather than as a dialect or variant of it.
-
D.
isCeremoniallyDistinctFrom
Indicates that two entities are formally separated or differentiated from each other within a ritual, ceremonial, or symbolic context.
-
E.
hasRegisterDistinction
Indicates that there is a meaningful difference in language register (e.g., formality or style) between the related linguistic forms or usages.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.