Triple
T26551385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天神 |
E671685
|
entity |
| Predicate | 主な商業施設 |
P79077
|
FINISHED |
| Object | ビックカメラ天神2号館周辺の家電量販店群 |
—
|
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: ビックカメラ天神2号館周辺の家電量販店群 | Statement: [天神, 主な商業施設, ビックカメラ天神2号館周辺の家電量販店群]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な商業施設 Context triple: [天神, 主な商業施設, ビックカメラ天神2号館周辺の家電量販店群]
-
A.
hasMajorCommercialCentre
chosen
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
B.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
C.
hasCommercialCenterType
Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
-
D.
majorOutletOf
Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
-
E.
isCommercialFacility
Indicates that a facility is used primarily for commercial or business-related activities or services.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:47 a.m.