Triple
T11134266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo Municipal Subway |
E263370
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Asabu Station
Asabu Station is a subway station in Sapporo, Japan, serving as the northern terminus of the Sapporo Municipal Subway Namboku Line.
|
E1274230
|
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: Asabu Station | Statement: [Sapporo Municipal Subway, hasStation, Asabu Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asabu Station Context triple: [Sapporo Municipal Subway, hasStation, Asabu Station]
-
A.
Asahibashi Station
Asahibashi Station is a monorail station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) system.
-
B.
Shinsugita Station
Shinsugita Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
-
C.
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
D.
Shibasaki Station
Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
-
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: Asabu Station Triple: [Sapporo Municipal Subway, hasStation, Asabu Station]
Generated description
Asabu Station is a subway station in Sapporo, Japan, serving as the northern terminus of the Sapporo Municipal Subway Namboku Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asabu Station Target entity description: Asabu Station is a subway station in Sapporo, Japan, serving as the northern terminus of the Sapporo Municipal Subway Namboku Line.
-
A.
Asahibashi Station
Asahibashi Station is a monorail station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) system.
-
B.
Shinsugita Station
Shinsugita Station is a railway station in Yokohama, Japan, serving as a local transit hub within the city's Isogo Ward.
-
C.
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
D.
Shibasaki Station
Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
-
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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9260c508190aa83d6bed8b598a6 |
completed | May 11, 2026, 12:18 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 8, 2026, 9:28 p.m.