Triple
T3341002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Diet |
E70258
|
entity |
| Predicate | succeededInRoleBy |
P45417
|
FINISHED |
| Object | bicameral National Diet under the 1947 Constitution |
—
|
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: bicameral National Diet under the 1947 Constitution | Statement: [Imperial Diet, succeededInRoleBy, bicameral National Diet under the 1947 Constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededInRoleBy Context triple: [Imperial Diet, succeededInRoleBy, bicameral National Diet under the 1947 Constitution]
-
A.
successorInSomeRoles
chosen
Indicates that one entity has taken over or followed another entity in certain specified roles or positions.
-
B.
successorRole
Indicates that one role or position directly follows and replaces another in a sequence or organizational structure.
-
C.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
D.
triedRole
Indicates that an entity has attempted to perform, assume, or take on a particular role.
-
E.
appliedDuringRole
Indicates that an action, method, or process was carried out specifically while an entity was serving in a particular role or position.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1c0ae44819091c851569eaf4565 |
completed | March 8, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.