Triple
T38665080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京浜急行電鉄株式会社 |
E940432
|
entity |
| Predicate | 主要接続地 |
P111188
|
FINISHED |
| Object | 東京都心 |
—
|
LITERAL FINISHED |
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: 東京都心 | Statement: [京浜急行電鉄株式会社, 主要接続地, 東京都心]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要接続地 Context triple: [京浜急行電鉄株式会社, 主要接続地, 東京都心]
-
A.
connectsMajorHub
chosen
Indicates that one entity serves as a link or route between major hubs or primary nodes in a network.
-
B.
primaryHubFor
Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
-
C.
primaryConnections
Indicates that there exists a main or most significant relationship or linkage between entities, distinguishing these connections from secondary or peripheral ones.
-
D.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
E.
主な発着駅
Indicates that one entity serves as the primary departure and arrival station associated with another entity (such as a route, service, or line).
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.