Triple
T18600204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大分県 |
E454597
|
entity |
| Predicate | 最大都市 |
P235
|
FINISHED |
| Object | 大分市 |
—
|
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: 大分市 | Statement: [大分県, 最大都市, 大分市]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最大都市 Context triple: [大分県, 最大都市, 大分市]
-
A.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
B.
nearestLargeUrbanArea
Indicates that one entity is the closest major city or large urban center to the other entity.
-
C.
largestCity
chosen
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
D.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
E.
isMegacity
Indicates that a city has an extremely large population and urban area, typically qualifying it as a major global metropolitan center.
- 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.