Triple
T15582815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akan Ainu Kotan |
E374541
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Akan
Akan is a region in eastern Hokkaido, Japan, renowned for its volcanic landscapes, crater lakes, and rich Ainu cultural heritage.
|
E1165626
|
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: Akan | Statement: [Akan Ainu Kotan, locatedIn, Akan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akan Context triple: [Akan Ainu Kotan, locatedIn, Akan]
-
A.
Akan
Akan is a major Central Tano language spoken primarily in Ghana and parts of Côte d’Ivoire, serving as a key lingua franca and cultural language for the Akan people.
-
B.
Akena
Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
-
C.
Osanobua
Osanobua is the supreme creator god and central deity in the traditional religion and cosmology of the Edo people of Nigeria.
-
D.
Ayan
Ayan is a remote settlement in Russia’s Khabarovsk Krai, known as a small port village on the Sea of Okhotsk.
-
E.
Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
- 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: Akan Triple: [Akan Ainu Kotan, locatedIn, Akan]
Generated description
Akan is a region in eastern Hokkaido, Japan, renowned for its volcanic landscapes, crater lakes, and rich Ainu cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akan Target entity description: Akan is a region in eastern Hokkaido, Japan, renowned for its volcanic landscapes, crater lakes, and rich Ainu cultural heritage.
-
A.
Akan
Akan is a major Central Tano language spoken primarily in Ghana and parts of Côte d’Ivoire, serving as a key lingua franca and cultural language for the Akan people.
-
B.
Akena
Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
-
C.
Osanobua
Osanobua is the supreme creator god and central deity in the traditional religion and cosmology of the Edo people of Nigeria.
-
D.
Ayan
Ayan is a remote settlement in Russia’s Khabarovsk Krai, known as a small port village on the Sea of Okhotsk.
-
E.
Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4f71e48190a15eb0a2138f083f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4fb2522481909fa66c2e1fac23bf |
completed | May 9, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5238f0e88190b280942022480c12 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:11 a.m.