Triple
T23469625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo city center |
E569190
|
entity |
| Predicate | containsCommercialHub |
P9422
|
FINISHED |
| Object | Ginza shopping district |
—
|
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: Ginza shopping district | Statement: [Tokyo city center, containsCommercialHub, Ginza shopping district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCommercialHub Context triple: [Tokyo city center, containsCommercialHub, Ginza shopping district]
-
A.
isCommercialHubIn
chosen
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
-
B.
hasCommercialServices
Indicates that one entity provides or offers commercial services to another entity or within a specified context.
-
C.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
D.
hasCommercialField
Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
-
E.
hasCommercialVariant
Indicates that an entity has a related version that is produced, marketed, or sold commercially.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:54 p.m.