Triple
T8541710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon region of Ecuador |
E202212
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Nueva Loja
Nueva Loja is an oil-industry hub and gateway city to the Amazon rainforest in northeastern Ecuador.
|
E741171
|
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: Nueva Loja | Statement: [Amazon region of Ecuador, hasMajorCity, Nueva Loja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nueva Loja Context triple: [Amazon region of Ecuador, hasMajorCity, Nueva Loja]
-
A.
Carchi Province
Carchi Province is a northern Ecuadorian province bordering Colombia, known for its Andean highlands, agriculture, and the city of Tulcán as its capital.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
-
D.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
E.
Cuenca
Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
- 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: Nueva Loja Triple: [Amazon region of Ecuador, hasMajorCity, Nueva Loja]
Generated description
Nueva Loja is an oil-industry hub and gateway city to the Amazon rainforest in northeastern Ecuador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nueva Loja Target entity description: Nueva Loja is an oil-industry hub and gateway city to the Amazon rainforest in northeastern Ecuador.
-
A.
Carchi Province
Carchi Province is a northern Ecuadorian province bordering Colombia, known for its Andean highlands, agriculture, and the city of Tulcán as its capital.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
D.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
-
E.
Cuenca
Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.