Triple
T35318890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūō Shinkansen |
E1019981
|
entity |
| Predicate | plannedIntermediatePrefectures |
P99780
|
FINISHED |
| Object | Kanagawa Prefecture |
—
|
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: Kanagawa Prefecture | Statement: [Chūō Shinkansen, plannedIntermediatePrefectures, Kanagawa Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedIntermediatePrefectures Context triple: [Chūō Shinkansen, plannedIntermediatePrefectures, Kanagawa Prefecture]
-
A.
startingPrefecture
Indicates the prefecture in which something (such as a route, journey, or process) begins.
-
B.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
-
C.
passesPrefecture
chosen
Indicates that a route, path, or entity traverses through or goes across a specified prefecture.
-
D.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
-
E.
flowsThroughPrefecture
Indicates that something, typically a river or waterway, passes through or traverses the geographic area of a specified prefecture.
- 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_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.