Triple
T24148994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 4 |
E598472
|
entity |
| Predicate | runsThroughPrefecture |
P99780
|
FINISHED |
| Object | Tokyo 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: Tokyo Prefecture | Statement: [National Route 4, runsThroughPrefecture, Tokyo Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsThroughPrefecture Context triple: [National Route 4, runsThroughPrefecture, Tokyo Prefecture]
-
A.
flowsThroughPrefecture
Indicates that something, typically a river or waterway, passes through or traverses the geographic area of a specified prefecture.
-
B.
passesPrefecture
chosen
Indicates that a route, path, or entity traverses through or goes across a specified prefecture.
-
C.
accessPrefecture
Indicates that an entity has access to, or is associated with accessing, a specific prefecture.
-
D.
startingPrefecture
Indicates the prefecture in which something (such as a route, journey, or process) begins.
-
E.
coversPrefecture
Indicates that one entity (typically an administrative or service area) geographically includes or extends over the territory of a given 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00d252c8190a02bec29189baad0 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.