Triple
T10912390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isogo Ward, Yokohama |
E257732
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Negishi Station
Negishi Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
|
E1166135
|
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: Negishi Station | Statement: [Isogo Ward, Yokohama, hasStation, Negishi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Negishi Station Context triple: [Isogo Ward, Yokohama, hasStation, Negishi Station]
-
A.
Imadegawa Station
Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
-
B.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
C.
Shibusawa Station
Shibusawa Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local stop on the Odakyu Odawara Line.
-
D.
Tsuruhashi Station
Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
-
E.
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.
- 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: Negishi Station Triple: [Isogo Ward, Yokohama, hasStation, Negishi Station]
Generated description
Negishi Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Negishi Station Target entity description: Negishi Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
-
A.
Imadegawa Station
Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
-
B.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
C.
Shibusawa Station
Shibusawa Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local stop on the Odakyu Odawara Line.
-
D.
Tsuruhashi Station
Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
-
E.
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.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ade75c8190b556c3b0ba692a96 |
completed | May 9, 2026, 3:45 p.m. |
| NEDg | Description generation | batch_69ff5858f6f88190a94a871c831e4f78 |
completed | May 9, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff589de85c8190abc9c888ac90cf52 |
completed | May 9, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:22 p.m.