Triple
T4825239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakae |
E107807
|
entity |
| Predicate | transportServedBy |
P1298
|
FINISHED |
| Object |
Sakae Station
Sakae Station is a major underground railway and subway hub in Nagoya, Japan, serving the busy Sakae commercial and entertainment district.
|
E925698
|
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: Sakae Station | Statement: [Sakae, transportServedBy, Sakae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakae Station Context triple: [Sakae, transportServedBy, Sakae Station]
-
A.
Sakai Station
Sakai Station is a major railway station in Sakai, Osaka Prefecture, Japan, functioning as an important hub for commuter and regional rail services.
-
B.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
-
C.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Homachi Station
Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
- 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: Sakae Station Triple: [Sakae, transportServedBy, Sakae Station]
Generated description
Sakae Station is a major underground railway and subway hub in Nagoya, Japan, serving the busy Sakae commercial and entertainment district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakae Station Target entity description: Sakae Station is a major underground railway and subway hub in Nagoya, Japan, serving the busy Sakae commercial and entertainment district.
-
A.
Sakai Station
Sakai Station is a major railway station in Sakai, Osaka Prefecture, Japan, functioning as an important hub for commuter and regional rail services.
-
B.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
-
C.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Homachi Station
Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cadb2bc81909455149e46eb593a |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d2d717888190b7e455d006d01033 |
completed | April 20, 2026, 7:16 a.m. |
| NEDg | Description generation | batch_69e5d615b6a08190b6000339bec4270d |
completed | April 20, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d924963c8190bfc55ffeb529a499 |
completed | April 20, 2026, 7:43 a.m. |
Created at: March 20, 2026, 1:24 p.m.