Triple
T12039861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukaan language |
E286631
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ukaan–Anyaran
Ukaan–Anyaran is an alternate name for the Ukaan language, a little-documented Niger-Congo language spoken in parts of southwestern Nigeria.
|
E960812
|
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: Ukaan–Anyaran | Statement: [Ukaan language, hasAlternativeName, Ukaan–Anyaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ukaan–Anyaran Context triple: [Ukaan language, hasAlternativeName, Ukaan–Anyaran]
-
A.
Anatahan
Anatahan is a remote volcanic island in the Northern Mariana Islands known for its active stratovolcano and significant explosive eruptions in the early 2000s.
-
B.
Araniko
Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
-
C.
Antareen
Antareen is a 1993 Indian Bengali-language film directed by Mrinal Sen, known for its introspective exploration of human isolation and relationships.
-
D.
Aiani
Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
-
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: Ukaan–Anyaran Triple: [Ukaan language, hasAlternativeName, Ukaan–Anyaran]
Generated description
Ukaan–Anyaran is an alternate name for the Ukaan language, a little-documented Niger-Congo language spoken in parts of southwestern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ukaan–Anyaran Target entity description: Ukaan–Anyaran is an alternate name for the Ukaan language, a little-documented Niger-Congo language spoken in parts of southwestern Nigeria.
-
A.
Anatahan
Anatahan is a remote volcanic island in the Northern Mariana Islands known for its active stratovolcano and significant explosive eruptions in the early 2000s.
-
B.
Araniko
Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
-
C.
Antareen
Antareen is a 1993 Indian Bengali-language film directed by Mrinal Sen, known for its introspective exploration of human isolation and relationships.
-
D.
Aiani
Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
-
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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d9937a08190b2f606a1e55733b5 |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56505c0b481909f9caaf338f73033 |
completed | May 2, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:47 p.m.