Triple
T15399848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Kantō urban area |
E368282
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Oyama
Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
|
E1399128
|
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: Oyama | Statement: [Northern Kantō urban area, hasMajorCity, Oyama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyama Context triple: [Northern Kantō urban area, hasMajorCity, Oyama]
-
A.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
B.
Oiyama
Oiyama is the climactic final race of the Hakata Gion Yamakasa festival in Fukuoka, where teams dash through the streets carrying elaborately decorated floats.
-
C.
Aoyama
Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
-
D.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
-
E.
Sasayama
Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
- 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: Oyama Triple: [Northern Kantō urban area, hasMajorCity, Oyama]
Generated description
Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oyama Target entity description: Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
-
A.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
B.
Oiyama
Oiyama is the climactic final race of the Hakata Gion Yamakasa festival in Fukuoka, where teams dash through the streets carrying elaborately decorated floats.
-
C.
Aoyama
Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
-
D.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
-
E.
Sasayama
Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d41e00d88190a0cf2c1dd598f551 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 3:19 a.m.