Triple
T10014910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichi Prefecture |
E199464
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Okazaki
Okazaki is a historic city in central Japan known as the birthplace of shogun Tokugawa Ieyasu and for its well-preserved castle and traditional festivals.
|
E836252
|
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: Okazaki | Statement: [Aichi Prefecture, containsCity, Okazaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okazaki Context triple: [Aichi Prefecture, containsCity, Okazaki]
-
A.
Ozaki
Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
-
B.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
C.
Kodaira
Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
-
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.
Akasaki
Akasaki is a Japanese surname most notably borne by Nobel Prize–winning physicist Isamu Akasaki, a pioneer of blue LED technology.
- 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: Okazaki Triple: [Aichi Prefecture, containsCity, Okazaki]
Generated description
Okazaki is a historic city in central Japan known as the birthplace of shogun Tokugawa Ieyasu and for its well-preserved castle and traditional festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okazaki Target entity description: Okazaki is a historic city in central Japan known as the birthplace of shogun Tokugawa Ieyasu and for its well-preserved castle and traditional festivals.
-
A.
Ozaki
Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
-
B.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
C.
Kodaira
Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
-
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.
Akasaki
Akasaki is a Japanese surname most notably borne by Nobel Prize–winning physicist Isamu Akasaki, a pioneer of blue LED technology.
- 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_69d26a8f6f3081909310e28725d31f7e |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b84271881909c3a1b8a05e2c8a2 |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26f50dc008190866f0ba45b671560 |
completed | April 5, 2026, 2:18 p.m. |
Created at: March 30, 2026, 8:52 p.m.