Triple
T15496501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokoname |
E378830
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Mihama
Mihama is a coastal town in Aichi Prefecture, Japan, known for its seaside scenery and role as part of the Chita Peninsula region.
|
E1417294
|
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: Mihama | Statement: [Tokoname, borders, Mihama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihama Context triple: [Tokoname, borders, Mihama]
-
A.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
B.
Yumenoshima
Yumenoshima is a reclaimed island in Tokyo Bay known for its parks, sports and recreational facilities, and former landfill history.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Nakanoshima
Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
-
E.
Nakanoshima
Nakanoshima is a central river island and business district in Osaka, Japan, known for its government buildings, cultural institutions, and scenic waterfront parks.
- 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: Mihama Triple: [Tokoname, borders, Mihama]
Generated description
Mihama is a coastal town in Aichi Prefecture, Japan, known for its seaside scenery and role as part of the Chita Peninsula region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mihama Target entity description: Mihama is a coastal town in Aichi Prefecture, Japan, known for its seaside scenery and role as part of the Chita Peninsula region.
-
A.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
B.
Yumenoshima
Yumenoshima is a reclaimed island in Tokyo Bay known for its parks, sports and recreational facilities, and former landfill history.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Nakanoshima
Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
-
E.
Nakanoshima
Nakanoshima is a central river island and business district in Osaka, Japan, known for its government buildings, cultural institutions, and scenic waterfront parks.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843ce24748190a0bfca69e4d5006d |
completed | May 16, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a0844a1f6988190bbab91201b2a0d7e |
completed | May 16, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845700ec48190bb59acff92e4e616 |
completed | May 16, 2026, 10:22 a.m. |
Created at: April 10, 2026, 3:52 a.m.