Triple
T4766479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田勇人 |
E105823
|
entity |
| Predicate | 選挙区 |
P15002
|
FINISHED |
| Object | 広島県第1区 |
—
|
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: 広島県第1区 | Statement: [池田勇人, 選挙区, 広島県第1区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 選挙区 Context triple: [池田勇人, 選挙区, 広島県第1区]
-
A.
representedElectoralDistrict
chosen
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
B.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
-
C.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
D.
servedDistrict
Indicates that an entity has provided official service or representation to a particular district.
-
E.
electorate
Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.