Triple
T1453292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Metro Sennichimae Line |
E31340
|
entity |
| Predicate | hasInterchange |
P3495
|
FINISHED |
| Object |
Imazato Station
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
|
E458094
|
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: Imazato Station | Statement: [Osaka Metro Sennichimae Line, hasInterchange, Imazato Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imazato Station Context triple: [Osaka Metro Sennichimae Line, hasInterchange, Imazato Station]
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Ikenoue Station
Ikenoue Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and primarily used by local commuters.
-
D.
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.
-
E.
Makiochi Station
Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
- 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: Imazato Station Triple: [Osaka Metro Sennichimae Line, hasInterchange, Imazato Station]
Generated description
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imazato Station Target entity description: Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
-
A.
Shinsen Station
Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
-
B.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
C.
Ikenoue Station
Ikenoue Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and primarily used by local commuters.
-
D.
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.
-
E.
Makiochi Station
Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57e82d48190a30a4512f39f5de0 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdf9e0af508190adbd16c718d996e2 |
completed | March 21, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_69bdfb36a18481908bb566db970b101a |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbc9bea48190a8a0bf13c6fa7191 |
completed | March 21, 2026, 2 a.m. |
Created at: March 1, 2026, 8 p.m.