Triple
T36020945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京浜東北線 |
E1041981
|
entity |
| Predicate | 主な通過都道府県 |
P99780
|
FINISHED |
| Object | 東京都 |
—
|
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: 東京都 | Statement: [京浜東北線, 主な通過都道府県, 東京都]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な通過都道府県 Context triple: [京浜東北線, 主な通過都道府県, 東京都]
-
A.
flowsThroughPrefecture
Indicates that something, typically a river or waterway, passes through or traverses the geographic area of a specified prefecture.
-
B.
都道府県
Indicates a relationship where an entity is a Japanese prefecture or belongs to/pertains to a specific Japanese prefecture.
-
C.
選出都道府県
Indicates selecting or choosing a specific prefecture (administrative region) from among multiple options.
-
D.
passesPrefecture
chosen
Indicates that a route, path, or entity traverses through or goes across a specified prefecture.
-
E.
mainlyAffectedPrefecture
Indicates that a particular prefecture is the primary or most significantly impacted area in relation to an event, condition, or effect.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ace302e08190a7ea85706d581063 |
completed | May 3, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.