Triple
T14690585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niigata Prefecture |
E345022
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Gosen
Gosen is a city in central Japan known for its rural landscapes, agriculture, and hot springs within Niigata Prefecture.
|
E1114280
|
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: Gosen | Statement: [Niigata Prefecture, containsCity, Gosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gosen Context triple: [Niigata Prefecture, containsCity, Gosen]
-
A.
Gohatto
Gohatto is a 1999 Japanese period drama film directed by Nagisa Ōshima that explores forbidden desire and tensions within the samurai ranks of the Shinsengumi.
-
B.
Gorokan
Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
-
C.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
D.
Ganshoren
Ganshoren is a residential municipality in the Brussels-Capital Region of Belgium.
-
E.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
- 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: Gosen Triple: [Niigata Prefecture, containsCity, Gosen]
Generated description
Gosen is a city in central Japan known for its rural landscapes, agriculture, and hot springs within Niigata Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gosen Target entity description: Gosen is a city in central Japan known for its rural landscapes, agriculture, and hot springs within Niigata Prefecture.
-
A.
Gohatto
Gohatto is a 1999 Japanese period drama film directed by Nagisa Ōshima that explores forbidden desire and tensions within the samurai ranks of the Shinsengumi.
-
B.
Gorokan
Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
-
C.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
D.
Ganshoren
Ganshoren is a residential municipality in the Brussels-Capital Region of Belgium.
-
E.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde189771c81909289b8b044e32547 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5fd6854819083957f2c653eb8b6 |
completed | May 8, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde6ffc27881909427d24560011cdf |
completed | May 8, 2026, 1:37 p.m. |
Created at: April 10, 2026, 1:28 a.m.