Triple
T10560749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrianichthyidae |
E249210
|
entity |
| Predicate | commonNameOfOryzias latipes |
P1354
|
FINISHED |
| Object | Japanese rice fish |
—
|
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 rice fish | Statement: [Adrianichthyidae, commonNameOfOryzias latipes, Japanese rice fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNameOfOryzias latipes Context triple: [Adrianichthyidae, commonNameOfOryzias latipes, Japanese rice fish]
-
A.
nicknamedByJapanese
Indicates that an entity is known or referred to by a particular nickname given by Japanese people or in a Japanese context.
-
B.
eraNameInJapanese
Indicates the Japanese-language name used for a specific historical or calendar era.
-
C.
riceType
Indicates the specific variety or classification of rice associated with an entity.
-
D.
commonNameOf
chosen
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
E.
otherCommonName
Indicates that an entity is known by an additional, alternative common name besides its primary one.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271f3c6c819080b49fbe3aa09e09 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.