Triple
T10912389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isogo Ward, Yokohama |
E257732
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Yokodai Station
Yokodai Station is a railway station in Yokohama, Japan, serving the Yokodai area of Isogo Ward on the JR Negishi Line.
|
E1164345
|
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: Yokodai Station | Statement: [Isogo Ward, Yokohama, hasStation, Yokodai Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yokodai Station Context triple: [Isogo Ward, Yokohama, hasStation, Yokodai Station]
-
A.
Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Yamada Station
Yamada Station is a railway station in Suita, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
-
D.
Daikokucho Station
Daikokucho Station is a railway station in Osaka, Japan, serving as a stop on the Osaka Metro network and providing convenient access to the city’s central districts.
-
E.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka 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: Yokodai Station Triple: [Isogo Ward, Yokohama, hasStation, Yokodai Station]
Generated description
Yokodai Station is a railway station in Yokohama, Japan, serving the Yokodai area of Isogo Ward on the JR Negishi Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yokodai Station Target entity description: Yokodai Station is a railway station in Yokohama, Japan, serving the Yokodai area of Isogo Ward on the JR Negishi Line.
-
A.
Shiyakusho Station
Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Yamada Station
Yamada Station is a railway station in Suita, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
-
D.
Daikokucho Station
Daikokucho Station is a railway station in Osaka, Japan, serving as a stop on the Osaka Metro network and providing convenient access to the city’s central districts.
-
E.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka 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_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_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
| NEDg | Description generation | batch_69ff4cbbaafc819085e7714274f2a6b9 |
completed | May 9, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4d516fac8190bc00db7c61ba012b |
completed | May 9, 2026, 3:05 p.m. |
Created at: April 8, 2026, 9:22 p.m.