Triple
T18600234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大分県 |
E454597
|
entity |
| Predicate | 行政区分数 |
P1679
|
FINISHED |
| Object | 14市町村以上を有する |
—
|
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: 14市町村以上を有する | Statement: [大分県, 行政区分数, 14市町村以上を有する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 行政区分数 Context triple: [大分県, 行政区分数, 14市町村以上を有する]
-
A.
rankInChineseAdministrativeHierarchy
Indicates the relative level or position an administrative unit holds within the formal hierarchy of Chinese government administration.
-
B.
hasNumberOfSubdistricts
Indicates the relationship specifying how many subdistricts are associated with a given entity.
-
C.
hasNumberOfAdministrativeDong
Indicates the relationship specifying how many administrative dong (smallest local administrative units) are associated with a given entity.
-
D.
numberOfDistricts
chosen
Indicates the total count of districts associated with a given entity or area.
-
E.
divisionTitleCount
Indicates the number of titles or championships associated with a particular division.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.