Triple
T11327361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cañar Province |
E268255
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Cañar
Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
|
E919342
|
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: Cañar | Statement: [Cañar Province, hasMajorCity, Cañar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cañar Context triple: [Cañar Province, hasMajorCity, Cañar]
-
A.
Nueva Loja
Nueva Loja is an oil-industry hub and gateway city to the Amazon rainforest in northeastern Ecuador.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Latacunga Canton
Latacunga Canton is an administrative division in Ecuador’s Cotopaxi Province, centered on the city of Latacunga and known for its Andean highland culture and proximity to the Cotopaxi volcano.
-
D.
Sucumbíos Province
Sucumbíos Province is an oil-rich, biodiverse region in northeastern Ecuador, located in the Amazon rainforest along the border with Colombia.
-
E.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
- 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: Cañar Triple: [Cañar Province, hasMajorCity, Cañar]
Generated description
Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cañar Target entity description: Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
-
A.
Nueva Loja
Nueva Loja is an oil-industry hub and gateway city to the Amazon rainforest in northeastern Ecuador.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Latacunga Canton
Latacunga Canton is an administrative division in Ecuador’s Cotopaxi Province, centered on the city of Latacunga and known for its Andean highland culture and proximity to the Cotopaxi volcano.
-
D.
Sucumbíos Province
Sucumbíos Province is an oil-rich, biodiverse region in northeastern Ecuador, located in the Amazon rainforest along the border with Colombia.
-
E.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e52608b7348190875597513ca1a995 |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.