Triple
T11309615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寝屋川市 |
E267802
|
entity |
| Predicate | 都市的性格 |
P98429
|
FINISHED |
| Object | ベッドタウン |
—
|
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: ベッドタウン | Statement: [寝屋川市, 都市的性格, ベッドタウン]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 都市的性格 Context triple: [寝屋川市, 都市的性格, ベッドタウン]
-
A.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
B.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
C.
workCity
Indicates the city in which an entity (typically a person) performs their work or job.
-
D.
urbanContrastWith
Indicates a contrast or sharp difference between two urban environments, such as in character, form, density, or visual appearance.
-
E.
citySide
Indicates that one entity is located on or along a particular side or edge of a city relative to another reference point.
- F. None of above. chosen
Provenance (4 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.