Triple
T11695832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyakoan |
E277991
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Tarama Miyakoan
Tarama Miyakoan is a regional variety of the Miyakoan language spoken on Tarama Island in Okinawa, Japan.
|
E941130
|
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: Tarama Miyakoan | Statement: [Miyakoan, hasDialect, Tarama Miyakoan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarama Miyakoan Context triple: [Miyakoan, hasDialect, Tarama Miyakoan]
-
A.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
B.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
E.
Miho no Matsubara
Miho no Matsubara is a scenic coastal pine grove and beach in Shizuoka, Japan, famed for its views of Mount Fuji and its appearance in traditional art and folklore.
- 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: Tarama Miyakoan Triple: [Miyakoan, hasDialect, Tarama Miyakoan]
Generated description
Tarama Miyakoan is a regional variety of the Miyakoan language spoken on Tarama Island in Okinawa, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarama Miyakoan Target entity description: Tarama Miyakoan is a regional variety of the Miyakoan language spoken on Tarama Island in Okinawa, Japan.
-
A.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
B.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
E.
Miho no Matsubara
Miho no Matsubara is a scenic coastal pine grove and beach in Shizuoka, Japan, famed for its views of Mount Fuji and its appearance in traditional art and folklore.
- 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.