Triple
T4127122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chōfu |
E92751
|
entity |
| Predicate | railwayStation |
P918
|
FINISHED |
| Object |
Fuda Station
Fuda Station is a passenger railway station serving the city of Chōfu in Tokyo, Japan.
|
E866676
|
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: Fuda Station | Statement: [Chōfu, railwayStation, Fuda Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuda Station Context triple: [Chōfu, railwayStation, Fuda Station]
-
A.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
B.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
C.
Kudanshita Station
Kudanshita Station is a major Tokyo subway station in Chiyoda Ward that serves as a key access point to nearby landmarks such as the Nippon Budokan and Yasukuni Shrine.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Imadegawa Station
Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
- 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: Fuda Station Triple: [Chōfu, railwayStation, Fuda Station]
Generated description
Fuda Station is a passenger railway station serving the city of Chōfu in Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuda Station Target entity description: Fuda Station is a passenger railway station serving the city of Chōfu in Tokyo, Japan.
-
A.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
B.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
C.
Kudanshita Station
Kudanshita Station is a major Tokyo subway station in Chiyoda Ward that serves as a key access point to nearby landmarks such as the Nippon Budokan and Yasukuni Shrine.
-
D.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
E.
Imadegawa Station
Imadegawa Station is an underground metro station on Kyoto’s subway network serving the area around Doshisha University and the Kyoto Imperial Palace.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af021b17a08190b520101f54ec1e33 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dbc697388190b384c7ed9e6a65dc |
completed | April 10, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69d8e8c683608190aa4333ed38e79f53 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901c7684c8190837ed9ef0c2428af |
completed | April 10, 2026, 1:57 p.m. |
Created at: March 9, 2026, 3:42 p.m.