Triple
T10709943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minami Ward, Yokohama |
E252505
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
|
E1131256
|
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: Maita Station | Statement: [Minami Ward, Yokohama, hasRailwayStation, Maita Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maita Station Context triple: [Minami Ward, Yokohama, hasRailwayStation, Maita Station]
-
A.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
B.
Tengachaya Station
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
-
C.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
D.
Kōri Station
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
-
E.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
- 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: Maita Station Triple: [Minami Ward, Yokohama, hasRailwayStation, Maita Station]
Generated description
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maita Station Target entity description: Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
-
A.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
B.
Tengachaya Station
Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
-
C.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
D.
Kōri Station
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
-
E.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967a96708190b8688e84fdb270b0 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe97c0a3688190a9f55376a1d7ad87 |
completed | May 9, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe985cec608190888733cdc5bd71ea |
completed | May 9, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:13 p.m.