Triple
T20986522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamanashi Prefecture |
E516903
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Nirasaki
Nirasaki is a city in central Japan known for its scenic views of the Southern Japanese Alps and its location along the Kamanashi River in Yamanashi Prefecture.
|
E1475576
|
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: Nirasaki | Statement: [Yamanashi Prefecture, hasMunicipality, Nirasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nirasaki Context triple: [Yamanashi Prefecture, hasMunicipality, Nirasaki]
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
-
C.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
-
D.
Eishiro
Eishiro is a Japanese given name that can be used for male individuals.
-
E.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
- 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: Nirasaki Triple: [Yamanashi Prefecture, hasMunicipality, Nirasaki]
Generated description
Nirasaki is a city in central Japan known for its scenic views of the Southern Japanese Alps and its location along the Kamanashi River in Yamanashi Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nirasaki Target entity description: Nirasaki is a city in central Japan known for its scenic views of the Southern Japanese Alps and its location along the Kamanashi River in Yamanashi Prefecture.
-
A.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
B.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
-
C.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
-
D.
Eishiro
Eishiro is a Japanese given name that can be used for male individuals.
-
E.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe31cec8190a1007414148b8abe |
completed | April 21, 2026, 4:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0997eb364c81909d113c2bd676361b |
completed | May 17, 2026, 10:26 a.m. |
| NEDg | Description generation | batch_6a09988343a48190a66e6990ff728545 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0998e8f2488190800c67f13fb6b1a4 |
completed | May 17, 2026, 10:31 a.m. |
Created at: April 16, 2026, 1:49 p.m.