Triple
T14428855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakata-ku |
E357768
|
entity |
| Predicate | hasMajorRailwayStation |
P1071
|
FINISHED |
| Object | Hakata-eki |
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-eki | Statement: [Hakata-ku, hasMajorRailwayStation, Hakata-eki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakata-eki Context triple: [Hakata-ku, hasMajorRailwayStation, Hakata-eki]
-
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.
Kitahama Station
Kitahama Station is a major underground railway station in Osaka, Japan, serving both the Osaka Metro and Keihan Electric Railway networks.
-
C.
Akita Station
Akita Station is the main railway hub in Akita City, Japan, serving regional and Shinkansen high-speed train lines.
-
D.
Beppu Station
Beppu Station is the main railway hub serving the hot spring resort city of Beppu in Ōita Prefecture, Japan.
-
E.
Kasuga Station
Kasuga Station is a subway station in Bunkyo, Tokyo, that serves as one of the nearest rail access points to the Tokyo Dome and surrounding attractions.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46175b88190ae687073ddaa3d22 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 1:18 a.m.