Triple
T4788546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Namba Line |
E106543
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
|
E916058
|
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: Kujo Station | Statement: [Hanshin Namba Line, hasStation, Kujo Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kujo Station Context triple: [Hanshin Namba Line, hasStation, Kujo Station]
-
A.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
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.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
E.
Shijō Station
Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
- 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: Kujo Station Triple: [Hanshin Namba Line, hasStation, Kujo Station]
Generated description
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kujo Station Target entity description: Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
-
A.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
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.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
E.
Shijō Station
Shijō Station is a major underground metro station on the Kyoto Municipal Subway network, serving as a key transit point in central Kyoto near the city’s main commercial district.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f31e3d5c8190a044eaf67ebc9f08 |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f7dbfafc8190afa1e9fe67f1296e |
completed | April 19, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: March 20, 2026, 1:22 p.m.