Triple
T24808212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro-Kamata Electric Railway Company |
E620710
|
entity |
| Predicate | operatedArea |
P82
|
FINISHED |
| Object | Greater Tokyo Area |
—
|
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: Greater Tokyo Area | Statement: [Meguro-Kamata Electric Railway Company, operatedArea, Greater Tokyo Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedArea Context triple: [Meguro-Kamata Electric Railway Company, operatedArea, Greater Tokyo Area]
-
A.
operatedToArea
Indicates that an operation or service is directed or applied to a particular area or region.
-
B.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
C.
areaServed
chosen
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
D.
notableOperationArea
Indicates the geographic area or region where an entity primarily conducts or is recognized for its significant operations or activities.
-
E.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 4:50 a.m.