Triple
T16688822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukutoshin Line |
E405537
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Wakō Depot
Wakō Depot is a railway maintenance and storage facility serving Tokyo Metro’s Fukutoshin Line in the Tokyo metropolitan area.
|
E1228654
|
NE FINISHED |
How this triple was built (4 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: Wakō Depot | Statement: [Fukutoshin Line, depot, Wakō Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakō Depot Context triple: [Fukutoshin Line, depot, Wakō Depot]
-
A.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
B.
Fukagawa Depot
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
-
C.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
D.
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
E.
Shimura Depot
Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wakō Depot Triple: [Fukutoshin Line, depot, Wakō Depot]
Generated description
Wakō Depot is a railway maintenance and storage facility serving Tokyo Metro’s Fukutoshin Line in the Tokyo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wakō Depot Target entity description: Wakō Depot is a railway maintenance and storage facility serving Tokyo Metro’s Fukutoshin Line in the Tokyo metropolitan area.
-
A.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
B.
Fukagawa Depot
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
-
C.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
D.
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
E.
Shimura Depot
Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
- F. None of above. chosen
Provenance (5 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00920dd72c8190b30d4edd779e7029 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:19 a.m.