Triple
T11876932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | うめだスカイビル |
E282551
|
entity |
| Predicate | 最寄り駅 |
P90655
|
FINISHED |
| Object | 梅田駅 |
E353671
|
NE 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: 梅田駅 | Statement: [うめだスカイビル, 最寄り駅, 梅田駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 梅田駅 Context triple: [うめだスカイビル, 最寄り駅, 梅田駅]
-
A.
Umeda Station
chosen
Umeda Station is a major railway hub in Osaka, Japan, serving multiple private railway and subway lines and forming one of the busiest transport complexes in the country.
-
B.
Shinsaibashi Station
Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
-
C.
なんば駅
なんば駅は、大阪市中央区・浪速区にまたがる難波エリアの主要ターミナル駅で、地下鉄・私鉄・JRが集まる大阪有数の交通拠点である。
-
D.
Nishi-Umeda Station
Nishi-Umeda Station is a major Osaka subway station on the Yotsubashi Line, serving the Umeda district and providing convenient transfers to several other key rail and metro lines.
-
E.
Higashi-Umeda Station
Higashi-Umeda Station is a major Osaka Metro subway station in central Osaka, Japan, serving the busy Umeda commercial and business district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.