Triple
T2828168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Municipal Subway |
E54972
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
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.
|
E639570
|
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: Shijō Station | Statement: [Kyoto Municipal Subway, hasStation, Shijō Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shijō Station Context triple: [Kyoto Municipal Subway, hasStation, Shijō Station]
-
A.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Otsuka Station
Otsuka Station is a railway station in Tokyo, Japan, served by JR East and known for its location on the busy Yamanote Line loop.
-
D.
Tsuruhashi Station
Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya 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: Shijō Station Triple: [Kyoto Municipal Subway, hasStation, Shijō Station]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shijō Station Target entity description: 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.
-
A.
Shōji Station
Shōji Station is a railway station in Osaka, Japan, serving passengers on the Osaka Metro network.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Otsuka Station
Otsuka Station is a railway station in Tokyo, Japan, served by JR East and known for its location on the busy Yamanote Line loop.
-
D.
Tsuruhashi Station
Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
-
E.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69c79052fe1c819093347b6053fd67c8 |
completed | March 28, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7908572308190b651c358b0e88961 |
completed | March 28, 2026, 8:25 a.m. |
Created at: March 6, 2026, 9:59 p.m.