Triple
T25063022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上皇后美智子 |
E627708
|
entity |
| Predicate | 学んだ言語 |
P157589
|
FINISHED |
| Object | フランス語 |
—
|
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: フランス語 | Statement: [上皇后美智子, 学んだ言語, フランス語]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 学んだ言語 Context triple: [上皇后美智子, 学んだ言語, フランス語]
-
A.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
B.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
C.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
D.
learnsLanguage
chosen
Indicates that an entity acquires knowledge or skill in a particular language through study or practice.
-
E.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599b7ff081909862edeae57c2c2d |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:10 a.m.