Triple
T11733813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotopaxi Province |
E278973
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Napo Province |
E83190
|
NE FINISHED |
How this triple was built (2 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: Napo Province | Statement: [Cotopaxi Province, borders, Napo Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napo Province Context triple: [Cotopaxi Province, borders, Napo Province]
-
A.
Napo Province
chosen
Napo Province is an inland region of Ecuador in the Amazon rainforest, known for its rich biodiversity, indigenous communities, and ecotourism.
-
B.
Équateur Province
Équateur Province is a region in the northwestern Democratic Republic of the Congo known for its vast rainforest, river systems, and recurring Ebola virus outbreaks.
-
C.
Sucumbíos Province
Sucumbíos Province is an oil-rich, biodiverse region in northeastern Ecuador, located in the Amazon rainforest along the border with Colombia.
-
D.
Pachitea Province
Pachitea Province is an administrative province located in central Peru, within the Andean department of Huánuco.
-
E.
Apure State
Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8406fe8881909722ecb040087e68 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:41 p.m.