Triple
T1153916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakayama Prefecture |
E23738
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Koya town
Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
|
E141662
|
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: Koya town | Statement: [Wakayama Prefecture, contains, Koya town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koya town Context triple: [Wakayama Prefecture, contains, Koya town]
-
A.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
-
B.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
C.
Arima Onsen
Arima Onsen is one of Japan’s oldest and most famous hot spring towns, renowned for its mineral-rich “gold” and “silver” baths nestled in the mountains near Kobe.
-
D.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
-
E.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
- 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: Koya town Triple: [Wakayama Prefecture, contains, Koya town]
Generated description
Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koya town Target entity description: Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
-
A.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
-
B.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
C.
Arima Onsen
Arima Onsen is one of Japan’s oldest and most famous hot spring towns, renowned for its mineral-rich “gold” and “silver” baths nestled in the mountains near Kobe.
-
D.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
-
E.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6b70d081909c6d6f9c790f6bd6 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fd90ea88190b154bb7d72768dae |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac90412d3881909278a9a6c6536ce3 |
completed | March 7, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:44 p.m.