Triple
T11695833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyakoan |
E277991
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Ogami Miyakoan
Ogami Miyakoan is a regional variety of the Miyakoan language spoken on Ogami Island in Okinawa, Japan.
|
E941131
|
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: Ogami Miyakoan | Statement: [Miyakoan, hasDialect, Ogami Miyakoan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogami Miyakoan Context triple: [Miyakoan, hasDialect, Ogami Miyakoan]
-
A.
Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
-
B.
Genjuro Kibagami
Genjuro Kibagami is a recurring anti-hero and rival swordsman in SNK’s Samurai Shodown fighting game series, known for his ruthless demeanor and powerful iaido-based fighting style.
-
C.
Tsuchida Gozen
Tsuchida Gozen was a 16th-century Japanese noblewoman best known as the mother of the powerful warlord Oda Nobunaga during the Sengoku period.
-
D.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
E.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
- 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: Ogami Miyakoan Triple: [Miyakoan, hasDialect, Ogami Miyakoan]
Generated description
Ogami Miyakoan is a regional variety of the Miyakoan language spoken on Ogami Island in Okinawa, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogami Miyakoan Target entity description: Ogami Miyakoan is a regional variety of the Miyakoan language spoken on Ogami Island in Okinawa, Japan.
-
A.
Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
-
B.
Genjuro Kibagami
Genjuro Kibagami is a recurring anti-hero and rival swordsman in SNK’s Samurai Shodown fighting game series, known for his ruthless demeanor and powerful iaido-based fighting style.
-
C.
Tsuchida Gozen
Tsuchida Gozen was a 16th-century Japanese noblewoman best known as the mother of the powerful warlord Oda Nobunaga during the Sengoku period.
-
D.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
E.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.