Triple
T1135509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyogo Prefecture |
E23129
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
|
E135460
|
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: Miki | Statement: [Hyogo Prefecture, hasCity, Miki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miki Context triple: [Hyogo Prefecture, hasCity, Miki]
-
A.
Maki
Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
-
B.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
C.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
Mako Mori
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
- 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: Miki Triple: [Hyogo Prefecture, hasCity, Miki]
Generated description
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miki Target entity description: Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
-
A.
Maki
Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
-
B.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
C.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
Mako Mori
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc2300c481908c60fbb1188c37c5 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f11a31481909e11a01b12841b3d |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac71788d0081909d7931319d93db36 |
completed | March 7, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac71cd1f048190b8b4aa48a878d8b7 |
completed | March 7, 2026, 6:43 p.m. |
Created at: March 1, 2026, 7:44 p.m.