Triple
T11286474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toei Oedo Line |
E267201
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Nakai Station
Nakai Station is a railway station in Tokyo, Japan, served by both the Toei Ōedo Line and the Seibu Shinjuku Line.
|
E1335468
|
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: Nakai Station | Statement: [Toei Oedo Line, hasStation, Nakai Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakai Station Context triple: [Toei Oedo Line, hasStation, Nakai Station]
-
A.
Sakae Station
Sakae Station is a major underground railway and subway hub in Nagoya, Japan, serving the busy Sakae commercial and entertainment district.
-
B.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
C.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
D.
Yata Station
Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
-
E.
Shinsugita Station
Shinsugita Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
- 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: Nakai Station Triple: [Toei Oedo Line, hasStation, Nakai Station]
Generated description
Nakai Station is a railway station in Tokyo, Japan, served by both the Toei Ōedo Line and the Seibu Shinjuku Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakai Station Target entity description: Nakai Station is a railway station in Tokyo, Japan, served by both the Toei Ōedo Line and the Seibu Shinjuku Line.
-
A.
Sakae Station
Sakae Station is a major underground railway and subway hub in Nagoya, Japan, serving the busy Sakae commercial and entertainment district.
-
B.
Minowa Station
Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
-
C.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
D.
Yata Station
Yata Station is a railway station in Osaka, Japan, operated by Kintetsu Railway on its Minami Osaka Line.
-
E.
Shinsugita Station
Shinsugita Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051701512c819080be8649f1f1b401 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05184e0cc881909aad820f5afc34be |
completed | May 14, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05189feab08190ad33ec2f5711fecb |
completed | May 14, 2026, 12:34 a.m. |
Created at: April 8, 2026, 9:32 p.m.