Triple
T11599074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otsuka Station |
E275078
|
entity |
| Predicate | hasNearbyTramStop |
P29999
|
FINISHED |
| Object |
Otsuka-ekimae Station
Otsuka-ekimae Station is a tram stop on the Tokyo Sakura Tram (Toden Arakawa Line) located in Toshima, Tokyo, Japan.
|
E1409435
|
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: Otsuka-ekimae Station | Statement: [Otsuka Station, hasNearbyTramStop, Otsuka-ekimae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otsuka-ekimae Station Context triple: [Otsuka Station, hasNearbyTramStop, Otsuka-ekimae Station]
-
A.
Otsuka Station
Otsuka Station is a railway station in Tokyo, Japan, served by JR East and known for its location on the busy Yamanote Line loop.
-
B.
Eifukuchō Station
Eifukuchō Station is a railway station in Suginami, Tokyo, Japan, served by the Keio Inokashira Line.
-
C.
Kōjimachi Station
Kōjimachi Station is an underground Tokyo Metro station in Chiyoda, Tokyo, serving the busy central business and government district.
-
D.
Karasuma Station
Karasuma Station is a subway station in Kyoto, Japan, serving the Kyoto Municipal Subway Karasuma Line in the city’s central area.
-
E.
Negishi Station
Negishi 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: Otsuka-ekimae Station Triple: [Otsuka Station, hasNearbyTramStop, Otsuka-ekimae Station]
Generated description
Otsuka-ekimae Station is a tram stop on the Tokyo Sakura Tram (Toden Arakawa Line) located in Toshima, Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otsuka-ekimae Station Target entity description: Otsuka-ekimae Station is a tram stop on the Tokyo Sakura Tram (Toden Arakawa Line) located in Toshima, Tokyo, Japan.
-
A.
Otsuka Station
Otsuka Station is a railway station in Tokyo, Japan, served by JR East and known for its location on the busy Yamanote Line loop.
-
B.
Eifukuchō Station
Eifukuchō Station is a railway station in Suginami, Tokyo, Japan, served by the Keio Inokashira Line.
-
C.
Kōjimachi Station
Kōjimachi Station is an underground Tokyo Metro station in Chiyoda, Tokyo, serving the busy central business and government district.
-
D.
Karasuma Station
Karasuma Station is a subway station in Kyoto, Japan, serving the Kyoto Municipal Subway Karasuma Line in the city’s central area.
-
E.
Negishi Station
Negishi 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815e456ec8190986280b85fc017c7 |
completed | May 16, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_6a081a539a7c819089d8a308102e7d20 |
completed | May 16, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081ab0e7208190b6020f9f9974084b |
completed | May 16, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:38 p.m.