Triple
T35318875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūō Shinkansen |
E1019981
|
entity |
| Predicate | plannedRouteRegion |
P51005
|
FINISHED |
| Object | Chūbu region |
—
|
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: Chūbu region | Statement: [Chūō Shinkansen, plannedRouteRegion, Chūbu region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedRouteRegion Context triple: [Chūō Shinkansen, plannedRouteRegion, Chūbu region]
-
A.
routeRegion
chosen
Indicates that a route is located within, passes through, or is associated with a particular geographic region.
-
B.
partOfPlanningRegion
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
C.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
D.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
E.
routePlan
Indicates a planned path or sequence of steps for traveling from a starting point to a destination.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.