Triple
T8754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan |
E174
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Nagoya
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
|
E11598
|
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: Nagoya | Statement: [Japan, majorCity, Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagoya Context triple: [Japan, majorCity, Nagoya]
-
A.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
B.
Osaka
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
-
C.
Kyoto
Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
-
D.
Tokyo
Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
-
E.
Osaka Prefecture
Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
- 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: Nagoya Triple: [Japan, majorCity, Nagoya]
Generated description
Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagoya Target entity description: Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
-
A.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
B.
Osaka
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
-
C.
Kyoto
Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
-
D.
Tokyo
Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
-
E.
Osaka Prefecture
Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a24659cfe0819088c2e8a61c2274f3 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bfa1fdc8190ba22f503585051d7 |
completed | Feb. 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69a27c5c994c8190857a0f3d8829d249 |
completed | Feb. 28, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27e688cb88190a9ab0e5422c0d392 |
completed | Feb. 28, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.