Triple
T684782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocopa language |
E13260
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Mexican Cocopa
Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
|
E83609
|
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: Mexican Cocopa | Statement: [Cocopa language, hasDialect, Mexican Cocopa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexican Cocopa Context triple: [Cocopa language, hasDialect, Mexican Cocopa]
-
A.
Sopó
Sopó is a small municipality in the department of Cundinamarca, Colombia, known for its scenic Andean landscapes and dairy production.
-
B.
Cholula
Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
-
C.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
-
D.
Peruvian inti
The Peruvian inti was Peru’s national currency from the mid-1980s until the early 1990s, introduced during a period of hyperinflation before being replaced by the nuevo sol.
-
E.
Samborondón
Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
- 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: Mexican Cocopa Triple: [Cocopa language, hasDialect, Mexican Cocopa]
Generated description
Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mexican Cocopa Target entity description: Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
-
A.
Sopó
Sopó is a small municipality in the department of Cundinamarca, Colombia, known for its scenic Andean landscapes and dairy production.
-
B.
Cholula
Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
-
C.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
-
D.
Peruvian inti
The Peruvian inti was Peru’s national currency from the mid-1980s until the early 1990s, introduced during a period of hyperinflation before being replaced by the nuevo sol.
-
E.
Samborondón
Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0725c708190aa6edfee742ca4e6 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a743c08190be4db12e2ed39ffb |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c510ceec81908770fee50c0e69b1 |
completed | March 2, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cd4af9a0819093cb72432dbec343 |
completed | March 2, 2026, 5:47 p.m. |
Created at: March 1, 2026, 7:36 p.m.