Triple
T11194823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suita, Osaka |
E264894
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | JR Kishibe Station |
—
|
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: JR Kishibe Station | Statement: [Suita, Osaka, hasRailwayStation, JR Kishibe Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JR Kishibe Station Context triple: [Suita, Osaka, hasRailwayStation, JR Kishibe Station]
-
A.
JR Kishibe Station
chosen
JR Kishibe Station is a railway station in Suita, Osaka Prefecture, Japan, served by JR West on the JR Kyoto Line (Tōkaidō Main Line).
-
B.
Kishinosato Station
Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
-
C.
Ishibashi Station
Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
Created at: April 8, 2026, 9:29 p.m.