Triple
T10873149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awajún language |
E256707
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Aguajun
Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
|
E891493
|
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: Aguajun | Statement: [Awajún language, alternativeName, Aguajun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguajun Context triple: [Awajún language, alternativeName, Aguajun]
-
A.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
-
B.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
C.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
-
D.
Guahibo
The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
-
E.
El Cayaco
El Cayaco is a locality within the coastal region of Acapulco in the Mexican state of Guerrero.
- 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: Aguajun Triple: [Awajún language, alternativeName, Aguajun]
Generated description
Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aguajun Target entity description: Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
-
A.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
-
B.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
C.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
-
D.
Guahibo
The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
-
E.
El Cayaco
El Cayaco is a locality within the coastal region of Acapulco in the Mexican state of Guerrero.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154d8f9b881908025acc6ff1beb9f |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e16e3e9f448190a6b42b446818000c |
completed | April 16, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e17020d2b4819084283955b2ec2b29 |
completed | April 16, 2026, 11:26 p.m. |
Created at: April 8, 2026, 9:21 p.m.