Triple
T20912054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 参院 |
E514972
|
entity |
| Predicate | 上位概念 |
P141655
|
FINISHED |
| Object | 国会 |
—
|
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: 国会 | Statement: [参院, 上位概念, 国会]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 上位概念 Context triple: [参院, 上位概念, 国会]
-
A.
expandsConcept
Indicates that one concept broadens, elaborates, or adds detail to the meaning or scope of another concept.
-
B.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
-
C.
exportsConcept
Indicates that one entity sends or supplies a concept, idea, or abstract knowledge resource from itself to another entity or context.
-
D.
successorConcept
Indicates that one concept directly follows and replaces another in a sequence, versioning, or conceptual progression.
-
E.
conceptualScope
Indicates the range or domain of ideas, concepts, or topics that something (such as a work, theory, or term) is intended to cover or address.
- F. None of above. chosen
Provenance (4 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:48 p.m.