Triple
T2389871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kure |
E48915
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Kure Station
Kure Station is a railway station in Kure, Hiroshima Prefecture, Japan, serving as a key stop on the JR Kure Line.
|
E567805
|
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: Kure Station | Statement: [Kure, hasRailwayStation, Kure Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kure Station Context triple: [Kure, hasRailwayStation, Kure Station]
-
A.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
B.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
C.
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.
-
D.
Kawaguchi Station
Kawaguchi Station is a railway station in Kawaguchi, Saitama Prefecture, Japan, operated by East Japan Railway Company (JR East).
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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: Kure Station Triple: [Kure, hasRailwayStation, Kure Station]
Generated description
Kure Station is a railway station in Kure, Hiroshima Prefecture, Japan, serving as a key stop on the JR Kure Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kure Station Target entity description: Kure Station is a railway station in Kure, Hiroshima Prefecture, Japan, serving as a key stop on the JR Kure Line.
-
A.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
B.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
C.
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.
-
D.
Kawaguchi Station
Kawaguchi Station is a railway station in Kawaguchi, Saitama Prefecture, Japan, operated by East Japan Railway Company (JR East).
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7de1478819082238e8b8f88ed06 |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124d359ec819086420b7e00b8d630 |
completed | March 23, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c12605b8148190967526967a8a1231 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c641448190a826c213e8ab05af |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 4, 2026, 7:57 p.m.