Triple
T36020942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京浜東北線 |
E1041981
|
entity |
| Predicate | 路線名（ローマ字） |
P164578
|
FINISHED |
| Object | Keihin-Tōhoku Line |
—
|
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: Keihin-Tōhoku Line | Statement: [京浜東北線, 路線名（ローマ字）, Keihin-Tōhoku Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 路線名（ローマ字） Context triple: [京浜東北線, 路線名（ローマ字）, Keihin-Tōhoku Line]
-
A.
lineName
Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
-
B.
officialNameInRomaji
Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
-
C.
roadNameAlongRoute
Indicates that a specific road name is associated with, or used along, a particular segment or portion of a route.
-
D.
nameInLanguageRomanization
chosen
Indicates that an entity’s name is represented in the romanized (Latin-script) form of a particular language.
-
E.
primaryMarketedRouteName
Indicates the main route or method by which a product is marketed or delivered to its intended users.
- 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.