Triple
T2213832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izumiotsu |
E50976
|
entity |
| Predicate | railwayStation |
P918
|
FINISHED |
| Object |
Izumiotsu Station
Izumiotsu Station is a railway station in Izumiōtsu, Osaka Prefecture, Japan, serving as a local transit hub on the Nankai Main Line.
|
E527414
|
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: Izumiotsu Station | Statement: [Izumiotsu, railwayStation, Izumiotsu Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izumiotsu Station Context triple: [Izumiotsu, railwayStation, Izumiotsu Station]
-
A.
Imazato Station
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
-
B.
Makiochi Station
Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
-
C.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
D.
Kita-Yono Station
Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
-
E.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno 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: Izumiotsu Station Triple: [Izumiotsu, railwayStation, Izumiotsu Station]
Generated description
Izumiotsu Station is a railway station in Izumiōtsu, Osaka Prefecture, Japan, serving as a local transit hub on the Nankai Main Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Izumiotsu Station Target entity description: Izumiotsu Station is a railway station in Izumiōtsu, Osaka Prefecture, Japan, serving as a local transit hub on the Nankai Main Line.
-
A.
Imazato Station
Imazato Station is a railway station in Osaka, Japan, serving as a local transit hub on the Osaka Metro network.
-
B.
Makiochi Station
Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
-
C.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
D.
Kita-Yono Station
Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
-
E.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe8ba08f88190a0b10b7a0a05b98c |
completed | March 22, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69bfe976879c8190b0a9b1d44dc6f5c1 |
completed | March 22, 2026, 1:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfea063f20819098d3b6fd7ed78839 |
completed | March 22, 2026, 1:09 p.m. |
Created at: March 4, 2026, 7:46 p.m.