Triple
T37061668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 守口市 |
E917337
|
entity |
| Predicate | 経済圏 |
P65240
|
FINISHED |
| Object | 京阪神大都市圏 |
—
|
NE NERFINISHED |
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: 京阪神大都市圏 | Statement: [守口市, 経済圏, 京阪神大都市圏]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 経済圏 Context triple: [守口市, 経済圏, 京阪神大都市圏]
-
A.
economicArea
chosen
Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
-
B.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
C.
economicCommunity
Indicates a relationship where entities are linked through shared economic integration, cooperation, or common market arrangements forming an economic community.
-
D.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
E.
hasImportantEconomicZoneIn
Indicates that an entity possesses or controls a significant economic zone or area within the specified location.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.