Triple
T36853769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 48 |
E910737
|
entity |
| Predicate | connectsPrefectures |
P201002
|
FINISHED |
| Object | Miyagi 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: Miyagi Prefecture | Statement: [National Route 48, connectsPrefectures, Miyagi Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsPrefectures Context triple: [National Route 48, connectsPrefectures, Miyagi Prefecture]
-
A.
accessPrefecture
Indicates that an entity has access to, or is associated with accessing, a specific prefecture.
-
B.
isAssociatedWithPrefecture
Indicates that an entity has a connection or affiliation with a specific prefecture, such as administrative, geographic, or organizational association.
-
C.
flowsThroughPrefecture
Indicates that something, typically a river or waterway, passes through or traverses the geographic area of a specified prefecture.
-
D.
connectsMunicipalities
Indicates a relationship where one entity serves as a link or route that joins two or more municipalities.
-
E.
passesPrefecture
Indicates that a route, path, or entity traverses through or goes across a specified prefecture.
- F. None of above. chosen
Provenance (4 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
| PDg | Predicate description generation | batch_69ffc082a4e881908a92313d2c755afe |
completed | May 9, 2026, 11:17 p.m. |
Created at: May 3, 2026, 4:13 p.m.