Triple
T1708979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga Prefecture |
E36933
|
entity |
| Predicate | hasTransportationHub |
P2413
|
FINISHED |
| Object | Maibara Station |
E509218
|
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: Maibara Station | Statement: [Shiga Prefecture, hasTransportationHub, Maibara Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maibara Station Context triple: [Shiga Prefecture, hasTransportationHub, Maibara Station]
-
A.
Maibara Station
chosen
Maibara Station is a major railway hub in Japan that serves as a key junction for Shinkansen high-speed trains and conventional lines in Shiga Prefecture.
-
B.
Miebashi Station
Miebashi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) system serving central Naha in Okinawa, Japan.
-
C.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
D.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
E.
Shinanomachi Station
Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63118618819085700fa84e362d60 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4865e65c81909165e7c6fed0d2ff |
completed | March 22, 2026, 1:39 a.m. |
Created at: March 4, 2026, 7:30 p.m.