Triple
T10278846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itabashi, Tokyo |
E241039
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Takashimadaira Station
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
|
E1050400
|
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: Takashimadaira Station | Statement: [Itabashi, Tokyo, hasStation, Takashimadaira Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takashimadaira Station Context triple: [Itabashi, Tokyo, hasStation, Takashimadaira Station]
-
A.
Takehara Station
Takehara Station is a regional railway station serving the coastal city of Takehara in Hiroshima Prefecture, Japan.
-
B.
Takawashi Station
Takawashi Station is a local railway station serving passengers in the city of Kashiwara in Osaka Prefecture, Japan.
-
C.
Daimotsu Station
Daimotsu Station is a railway station located in Amagasaki, Hyōgo Prefecture, Japan, serving local commuter rail lines.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Tachibana Station
Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe 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: Takashimadaira Station Triple: [Itabashi, Tokyo, hasStation, Takashimadaira Station]
Generated description
Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takashimadaira Station Target entity description: Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
-
A.
Takehara Station
Takehara Station is a regional railway station serving the coastal city of Takehara in Hiroshima Prefecture, Japan.
-
B.
Takawashi Station
Takawashi Station is a local railway station serving passengers in the city of Kashiwara in Osaka Prefecture, Japan.
-
C.
Daimotsu Station
Daimotsu Station is a railway station located in Amagasaki, Hyōgo Prefecture, Japan, serving local commuter rail lines.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Tachibana Station
Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29fdf2c819099dd581deac08cf2 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f6baca4819080f85da5fe0c2aba |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 6, 2026, 11:38 a.m.