Triple
T266919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Minister of Japan |
E5749
|
entity |
| Predicate | translatedLabel |
P2303
|
FINISHED |
| Object | Minister of the Navy |
—
|
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: Minister of the Navy | Statement: [Navy Minister of Japan, translatedLabel, Minister of the Navy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedLabel Context triple: [Navy Minister of Japan, translatedLabel, Minister of the Navy]
-
A.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
B.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
-
C.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
D.
inscriptionTranslation
Indicates that a provided text expresses the translated content of a specific inscription.
-
E.
hasTranslation
chosen
Indicates that one entity is a translation or translated version of another entity in a different 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.