Triple
T415041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Yamato |
E9573
|
entity |
| Predicate | languageCurrentlyUsed |
P10892
|
FINISHED |
| Object | Japanese |
—
|
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 | Statement: [House of Yamato, languageCurrentlyUsed, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCurrentlyUsed Context triple: [House of Yamato, languageCurrentlyUsed, Japanese]
-
A.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
B.
languageForm
Indicates the specific linguistic form or expression in which something is conveyed or represented.
-
C.
regionLanguage
chosen
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
D.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
E.
identityLanguage
Indicates that two language entities are identical or represent the same language.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.