Triple
T31279575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōji |
E797622
|
entity |
| Predicate | hasFirstMora |
P86502
|
FINISHED |
| Object | こ (ko) |
—
|
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: こ (ko) | Statement: [Kōji, hasFirstMora, こ (ko)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstMora Context triple: [Kōji, hasFirstMora, こ (ko)]
-
A.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
B.
firstSyllable
chosen
Indicates that one entity is the first syllable occurring at the beginning of another entity (typically a word or phrase).
-
C.
hasSyllabary
Indicates that one entity possesses or is associated with a specific syllabary writing system used to represent its language or notation.
-
D.
hasNasalHarmony
Indicates that a phonological process causes nasality in one segment to spread to or be shared with other segments within a word or domain.
-
E.
hasFirstSutra
Indicates that an entity (such as a text or collection) has a specific sutra designated as its first sutra.
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: April 29, 2026, 9:13 p.m.