Triple
T3091472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyo Shinkansen |
E64491
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Hakata Station |
E524005
|
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: Hakata Station | Statement: [Sanyo Shinkansen, terminus, Hakata Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakata Station Context triple: [Sanyo Shinkansen, terminus, Hakata Station]
-
A.
Hakata Station
chosen
Hakata Station is the main railway hub of Fukuoka and a major Shinkansen and regional train terminal in Kyushu, Japan.
-
B.
Kitaōji Station
Kitaōji Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway Karasuma Line and acting as a key transit hub in the city's northern area.
-
C.
Shijō Station
Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
-
D.
Akita Station
Akita Station is the main railway hub in Akita City, Japan, serving regional and Shinkansen high-speed train lines.
-
E.
Tsuruhashi Station
Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20eeee88190a5eecfce10e3848c |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c963dc62f88190b2aff49f5cb5fe27 |
completed | March 29, 2026, 5:39 p.m. |
Created at: March 8, 2026, 3:03 p.m.