Triple
T20912069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 参院 |
E514972
|
entity |
| Predicate | 前身組織 |
P51081
|
FINISHED |
| Object | 貴族院 |
—
|
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: 貴族院 | Statement: [参院, 前身組織, 貴族院]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 前身組織 Context triple: [参院, 前身組織, 貴族院]
-
A.
所属組織
Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
-
B.
formerOrganization
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
C.
formerParentOrganization
Indicates that one organization previously served as the parent organization of another, but no longer holds that status.
-
D.
organizationalPrecursorOf
chosen
Indicates that one organization functioned as a predecessor or antecedent to another organization in terms of structure, role, or continuity.
-
E.
originalOrganization
Indicates the organization from which an entity (such as a person, document, or resource) initially originated or was first associated.
- 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_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. |
Created at: April 16, 2026, 12:48 p.m.