Triple
T15823219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Embera language |
E383664
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Catío Embera
Catío Embera is a dialect of the Northern Embera language spoken by Embera communities in parts of Colombia and Panama.
|
E1178073
|
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: Catío Embera | Statement: [Northern Embera language, hasDialect, Catío Embera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catío Embera Context triple: [Northern Embera language, hasDialect, Catío Embera]
-
A.
Baudó Emberá
Baudó Emberá is an indigenous people of Colombia whose language belongs to the Chocoan family and is spoken primarily along the Baudó River region.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Amílcar
Amílcar is the given name of Brazilian sculptor, graphic designer, and concrete artist Amílcar de Castro.
-
D.
Camilo
Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
-
E.
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
- 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: Catío Embera Triple: [Northern Embera language, hasDialect, Catío Embera]
Generated description
Catío Embera is a dialect of the Northern Embera language spoken by Embera communities in parts of Colombia and Panama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catío Embera Target entity description: Catío Embera is a dialect of the Northern Embera language spoken by Embera communities in parts of Colombia and Panama.
-
A.
Baudó Emberá
Baudó Emberá is an indigenous people of Colombia whose language belongs to the Chocoan family and is spoken primarily along the Baudó River region.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Amílcar
Amílcar is the given name of Brazilian sculptor, graphic designer, and concrete artist Amílcar de Castro.
-
D.
Camilo
Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
-
E.
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a96b848190845cf547034a24f2 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999bba548190a39adc2d0e11c605 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a56d43c8190819deb48d59e16cb |
completed | May 9, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9acbd2b481908b9d415e26d0db81 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:49 a.m.