Triple
T8858385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awaji |
E210820
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Tsuna, Hyōgo
Tsuna, Hyōgo was a former town on Awaji Island in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal merger.
|
E763567
|
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: Tsuna, Hyōgo | Statement: [Awaji, formedByMergerOf, Tsuna, Hyōgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsuna, Hyōgo Context triple: [Awaji, formedByMergerOf, Tsuna, Hyōgo]
-
A.
Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
-
B.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
C.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
D.
Kanamachi
Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
-
E.
Hashimoto, Wakayama
Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub in the northeastern part of the prefecture near Mount Koya.
- 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: Tsuna, Hyōgo Triple: [Awaji, formedByMergerOf, Tsuna, Hyōgo]
Generated description
Tsuna, Hyōgo was a former town on Awaji Island in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsuna, Hyōgo Target entity description: Tsuna, Hyōgo was a former town on Awaji Island in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal merger.
-
A.
Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
-
B.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
C.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
D.
Kanamachi
Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
-
E.
Hashimoto, Wakayama
Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub in the northeastern part of the prefecture near Mount Koya.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e3b62c8190bf779e7e1db767f6 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b1b86481909ec0b78de043d8f8 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:50 p.m.