Triple
T27381072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshima |
E691228
|
entity |
| Predicate | hasMajorCommercialHub |
P79077
|
FINISHED |
| Object | Ikebukuro |
—
|
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: Ikebukuro | Statement: [Toshima, hasMajorCommercialHub, Ikebukuro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCommercialHub Context triple: [Toshima, hasMajorCommercialHub, Ikebukuro]
-
A.
hasMajorCityHub
Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
-
B.
hasMajorCommercialCentre
chosen
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
C.
hasMajorHubIn
Indicates that an entity maintains a primary or significant operational hub or center in a specified location.
-
D.
isMajorBusHub
Indicates that a location serves as a primary node in the bus network, with high connectivity and significant passenger or route volume.
-
E.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: April 27, 2026, 12:22 p.m.