Triple
T1860619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō |
E34802
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Inaricho Station
Inaricho Station is a Tokyo Metro subway station on the Ginza Line located in the Taitō ward of Tokyo, Japan.
|
E525294
|
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: Inaricho Station | Statement: [Taitō, hasRailwayStation, Inaricho Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inaricho Station Context triple: [Taitō, hasRailwayStation, Inaricho Station]
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
C.
Ebisu Station
Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
-
D.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
E.
Nagatsuta Station
Nagatsuta Station is a major railway hub in Yokohama, Japan, serving multiple lines and acting as an important commuter interchange in the region.
- 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: Inaricho Station Triple: [Taitō, hasRailwayStation, Inaricho Station]
Generated description
Inaricho Station is a Tokyo Metro subway station on the Ginza Line located in the Taitō ward of Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inaricho Station Target entity description: Inaricho Station is a Tokyo Metro subway station on the Ginza Line located in the Taitō ward of Tokyo, Japan.
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
C.
Ebisu Station
Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
-
D.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
E.
Nagatsuta Station
Nagatsuta Station is a major railway hub in Yokohama, Japan, serving multiple lines and acting as an important commuter interchange in the region.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09caee881908efe8aa38471298c |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf88d99da08190996996079b947498 |
completed | March 22, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69bf894ab574819099d492e61647002a |
completed | March 22, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf89e673e0819095e1ed3e45c27ac7 |
completed | March 22, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:34 p.m.