Triple
T4336607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanto Mountains |
E97476
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kantō Sanchi
Kantō Sanchi is a major mountain range in eastern Honshu, Japan, forming part of the rugged interior of the Kantō region.
|
E431219
|
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: Kantō Sanchi | Statement: [Kanto Mountains, alsoKnownAs, Kantō Sanchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kantō Sanchi Context triple: [Kanto Mountains, alsoKnownAs, Kantō Sanchi]
-
A.
Kantōshū
Kantōshū is the Japanese name for the Kwantung Leased Territory, a former Japanese-controlled enclave in northeastern China centered on the Liaodong Peninsula.
-
B.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
C.
Kokubunji
Kokubunji is a city in western Tokyo, Japan, known as a residential and educational hub within the Tama area.
-
D.
Shunpanrō
Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
-
E.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
- 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: Kantō Sanchi Triple: [Kanto Mountains, alsoKnownAs, Kantō Sanchi]
Generated description
Kantō Sanchi is a major mountain range in eastern Honshu, Japan, forming part of the rugged interior of the Kantō region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kantō Sanchi Target entity description: Kantō Sanchi is a major mountain range in eastern Honshu, Japan, forming part of the rugged interior of the Kantō region.
-
A.
Kantōshū
Kantōshū is the Japanese name for the Kwantung Leased Territory, a former Japanese-controlled enclave in northeastern China centered on the Liaodong Peninsula.
-
B.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
C.
Kokubunji
Kokubunji is a city in western Tokyo, Japan, known as a residential and educational hub within the Tama area.
-
D.
Shunpanrō
Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
-
E.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0ace26881908cfc7950dc7a6cf8 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d241198c8190a14308e38b0778b3 |
completed | March 14, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d2af9330819081aab93fe24d3611 |
completed | March 14, 2026, 9:27 p.m. |
Created at: March 12, 2026, 11:14 p.m.