Triple
T16558669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 鶴舞地区 |
E402277
|
entity |
| Predicate | isPartOfUrbanStructure |
P119773
|
FINISHED |
| Object | 名古屋市中心部近郊 |
—
|
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: 名古屋市中心部近郊 | Statement: [鶴舞地区, isPartOfUrbanStructure, 名古屋市中心部近郊]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanStructure Context triple: [鶴舞地区, isPartOfUrbanStructure, 名古屋市中心部近郊]
-
A.
partOfUrbanLayout
chosen
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
-
B.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
C.
isPartOfUrbanProject
Indicates that something belongs to, is included within, or constitutes a component of a broader urban development project.
-
D.
isPartOfStreetscape
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
E.
isUrbanNode
Indicates that a location or entity functions as an urban center or node within a city or metropolitan network.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.