Triple
T12876680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubeo people |
E307986
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Cubeo language
Cubeo language is an indigenous Tucanoan language spoken by the Cubeo people of the northwest Amazon region, primarily in Colombia.
|
E1006431
|
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: Cubeo language | Statement: [Cubeo people, language, Cubeo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cubeo language Context triple: [Cubeo people, language, Cubeo language]
-
A.
Keo language
The Keo language is an Austronesian language spoken by the Keo people on Flores Island in Indonesia.
-
B.
Triqui language
The Triqui language is an Oto-Manguean indigenous language of southern Mexico, spoken primarily by the Triqui people of Oaxaca.
-
C.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
-
D.
Keka language
Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
-
E.
Kuikuro language
The Kuikuro language is an indigenous Cariban language spoken by the Kuikuro people of Brazil’s Upper Xingu region, known for its rich oral traditions and complex grammatical structure.
- 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: Cubeo language Triple: [Cubeo people, language, Cubeo language]
Generated description
Cubeo language is an indigenous Tucanoan language spoken by the Cubeo people of the northwest Amazon region, primarily in Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cubeo language Target entity description: Cubeo language is an indigenous Tucanoan language spoken by the Cubeo people of the northwest Amazon region, primarily in Colombia.
-
A.
Keo language
The Keo language is an Austronesian language spoken by the Keo people on Flores Island in Indonesia.
-
B.
Triqui language
The Triqui language is an Oto-Manguean indigenous language of southern Mexico, spoken primarily by the Triqui people of Oaxaca.
-
C.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
-
D.
Keka language
Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
-
E.
Kuikuro language
The Kuikuro language is an indigenous Cariban language spoken by the Kuikuro people of Brazil’s Upper Xingu region, known for its rich oral traditions and complex grammatical structure.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f97f9c81908c75259a4cab1d3c |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69cc60c488190a5a71e25c075e9ff |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.