Triple
T2828177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Municipal Subway |
E54972
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Marutamachi Station
Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
|
E653710
|
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: Marutamachi Station | Statement: [Kyoto Municipal Subway, hasStation, Marutamachi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marutamachi Station Context triple: [Kyoto Municipal Subway, hasStation, Marutamachi Station]
-
A.
Hamamatsuchō Station
Hamamatsuchō Station is a major railway hub in Tokyo’s Minato ward that provides convenient access to central Tokyo, Haneda Airport, and the surrounding bayfront area.
-
B.
Tawaramachi Station
Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
-
C.
Eifukuchō Station
Eifukuchō Station is a railway station in Suginami, Tokyo, Japan, served by the Keio Inokashira Line.
-
D.
Takadanobaba Station
Takadanobaba Station is a major railway hub in Tokyo’s Shinjuku ward, serving multiple lines and providing convenient access to nearby universities and commercial areas.
-
E.
Kanamecho Station
Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
- 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: Marutamachi Station Triple: [Kyoto Municipal Subway, hasStation, Marutamachi Station]
Generated description
Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marutamachi Station Target entity description: Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
-
A.
Hamamatsuchō Station
Hamamatsuchō Station is a major railway hub in Tokyo’s Minato ward that provides convenient access to central Tokyo, Haneda Airport, and the surrounding bayfront area.
-
B.
Tawaramachi Station
Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
-
C.
Eifukuchō Station
Eifukuchō Station is a railway station in Suginami, Tokyo, Japan, served by the Keio Inokashira Line.
-
D.
Takadanobaba Station
Takadanobaba Station is a major railway hub in Tokyo’s Shinjuku ward, serving multiple lines and providing convenient access to nearby universities and commercial areas.
-
E.
Kanamecho Station
Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7daed5d188190b499151e636d206d |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dbc1ff0c8190bc7639a74a5d3af3 |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6873a081908ea4e953430ec20b |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 6, 2026, 9:59 p.m.