Triple
T32601127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinu limited express |
E833376
|
entity |
| Predicate | endPointRegion |
P14201
|
FINISHED |
| Object | Kinugawa 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: Kinugawa area | Statement: [Kinu limited express, endPointRegion, Kinugawa area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endPointRegion Context triple: [Kinu limited express, endPointRegion, Kinugawa area]
-
A.
endpointRegion
chosen
Indicates that one entity serves as the geographic or logical region in which the other entity’s endpoint is located or configured.
-
B.
bearerRegion
Indicates the geographic or administrative region in which the bearer of something (such as a document, asset, or right) is located or recognized.
-
C.
endPoint
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
-
D.
easternTerminusRegion
Indicates the region in which something (such as a route, line, or path) has its eastern endpoint or terminus.
-
E.
endsInRegion
Indicates that an entity’s spatial or temporal extent terminates within the boundaries of a specified region.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c69918108190afce924b83211903 |
completed | May 3, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:05 a.m.