Triple
T9011351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukpa language |
E215479
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Yucpa
Yucpa is an indigenous language spoken by the Yukpa people of the Sierra de Perijá region along the Colombia–Venezuela border.
|
E772718
|
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: Yucpa | Statement: [Yukpa language, alternateName, Yucpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yucpa Context triple: [Yukpa language, alternateName, Yucpa]
-
A.
Topolobampo
Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
-
B.
Antuco
Antuco is a stratovolcano in the Chilean Andes known for its symmetrical cone and location within the Southern Volcanic Zone.
-
C.
Mexican Cocopa
Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
-
D.
Jipijapa
Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
-
E.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
- 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: Yucpa Triple: [Yukpa language, alternateName, Yucpa]
Generated description
Yucpa is an indigenous language spoken by the Yukpa people of the Sierra de Perijá region along the Colombia–Venezuela border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yucpa Target entity description: Yucpa is an indigenous language spoken by the Yukpa people of the Sierra de Perijá region along the Colombia–Venezuela border.
-
A.
Topolobampo
Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
-
B.
Antuco
Antuco is a stratovolcano in the Chilean Andes known for its symmetrical cone and location within the Southern Volcanic Zone.
-
C.
Mexican Cocopa
Mexican Cocopa is a regional variety of the Cocopa language spoken by Cocopa communities in northern Mexico.
-
D.
Jipijapa
Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
-
E.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9dca848190952427bb5712081f |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc5b230881908057cc868e44ea44 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcfc28288190b849b3f0216a7e9a |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:06 p.m.