Triple
T10014946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichi Prefecture |
E199464
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mihama, Aichi
Mihama, Aichi is a coastal town in central Japan known for its seaside scenery, fishing industry, and recreational beaches along Mikawa Bay.
|
E840068
|
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, Aichi | Statement: [Aichi Prefecture, containsCity, Mihama, Aichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihama, Aichi Context triple: [Aichi Prefecture, containsCity, Mihama, Aichi]
-
A.
Miyoshi, Aichi
Miyoshi, Aichi is a city in central Japan known as a suburban and industrial area within the Greater Nagoya metropolitan region.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Kameyama
Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
-
D.
Numata, Gunma
Numata, Gunma is a city in Gunma Prefecture, Japan, known for its mountainous scenery, hot springs, and proximity to natural attractions such as lakes and ski areas.
-
E.
Toyosato, Shiga
Toyosato, Shiga is a small Japanese town known for its historic elementary school building and rural setting within Shiga Prefecture.
- 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, Aichi Triple: [Aichi Prefecture, containsCity, Mihama, Aichi]
Generated description
Mihama, Aichi is a coastal town in central Japan known for its seaside scenery, fishing industry, and recreational beaches along Mikawa Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mihama, Aichi Target entity description: Mihama, Aichi is a coastal town in central Japan known for its seaside scenery, fishing industry, and recreational beaches along Mikawa Bay.
-
A.
Miyoshi, Aichi
Miyoshi, Aichi is a city in central Japan known as a suburban and industrial area within the Greater Nagoya metropolitan region.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Kameyama
Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
-
D.
Numata, Gunma
Numata, Gunma is a city in Gunma Prefecture, Japan, known for its mountainous scenery, hot springs, and proximity to natural attractions such as lakes and ski areas.
-
E.
Toyosato, Shiga
Toyosato, Shiga is a small Japanese town known for its historic elementary school building and rural setting within Shiga Prefecture.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd49b19c8190b429e3533d072648 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5f15c6c8190b52924d6f86d63e0 |
completed | April 5, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d2b741cad481909f04e2f8da68753c |
completed | April 5, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b805afa08190a43745d764a75050 |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 8:52 p.m.