Triple
T29846493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 三光作戦 |
E757940
|
entity |
| Predicate | 言語表現 |
P8513
|
FINISHED |
| Object | 「三光」は中国語表現に由来する |
—
|
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: 「三光」は中国語表現に由来する | Statement: [三光作戦, 言語表現, 「三光」は中国語表現に由来する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 言語表現 Context triple: [三光作戦, 言語表現, 「三光」は中国語表現に由来する]
-
A.
公式言語
Indicates that something is expressed or represented using a formal language, typically defined by precise syntax and semantics.
-
B.
languageOfExpression
chosen
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
literaryExpressionBy
Indicates a relationship where a literary work or expression is created, authored, or articulated by a particular agent or entity.
-
D.
languageText
Indicates that a piece of text is expressed in, or associated with, a particular language.
-
E.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676438624819086aabd1b6e5fef4c |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:42 p.m.