Triple
T3102846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama Stadium |
E64758
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object |
Kannai Station
Kannai Station is a major railway station in Yokohama, Japan, serving as a key access point to the city's central business and entertainment districts.
|
E691095
|
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: Kannai Station | Statement: [Yokohama Stadium, publicTransitAccess, Kannai Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kannai Station Context triple: [Yokohama Stadium, publicTransitAccess, Kannai Station]
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
C.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
- 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: Kannai Station Triple: [Yokohama Stadium, publicTransitAccess, Kannai Station]
Generated description
Kannai Station is a major railway station in Yokohama, Japan, serving as a key access point to the city's central business and entertainment districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kannai Station Target entity description: Kannai Station is a major railway station in Yokohama, Japan, serving as a key access point to the city's central business and entertainment districts.
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
C.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26df128819086541db7680c8c24 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c968c9a1a48190b6ea5bb08ff745af |
completed | March 29, 2026, 6 p.m. |
| NEDg | Description generation | batch_69c969a21a38819080fdec02bba37248 |
completed | March 29, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c96ae5f18c8190ab64ad0f10a0036f |
completed | March 29, 2026, 6:09 p.m. |
Created at: March 8, 2026, 3:03 p.m.