Triple
T16326563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanganates National Park |
E396434
|
entity |
| Predicate | locatedIn |
P40
|
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: [Llanganates National Park, locatedIn, Napo Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napo Province Context triple: [Llanganates National Park, locatedIn, 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.
Purús Province
Purús Province is a remote and sparsely populated administrative division in eastern Peru, located in the Amazon rainforest near the border with Brazil.
-
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.
Pachitea Province
Pachitea Province is an administrative province located in central Peru, within the Andean department of Huánuco.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da915ac8190820acbe0db72c8a1 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.