Triple
T10945572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Namboku Line |
E258586
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Akabane-iwabuchi Station |
E1203625
|
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: Akabane-iwabuchi Station | Statement: [Tokyo Metro Namboku Line, terminus, Akabane-iwabuchi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akabane-iwabuchi Station Context triple: [Tokyo Metro Namboku Line, terminus, Akabane-iwabuchi Station]
-
A.
Akabane-iwabuchi Station
chosen
Akabane-iwabuchi Station is a railway station in Kita, Tokyo, Japan, serving as a northern terminal and transfer point on the Tokyo Metro network.
-
B.
Tachibana Station
Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe 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.
Takashimadaira Station
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
-
E.
Shibasaki Station
Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770e9a89081908979efd1d9e6af66 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f79c6ac81909935dace3dcc8bea |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 8, 2026, 9:23 p.m.