Triple
T19381259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvian Andes |
E484815
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chachani |
—
|
NE NERFINISHED |
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: Chachani | Statement: [Peruvian Andes, contains, Chachani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chachani Context triple: [Peruvian Andes, contains, Chachani]
-
A.
Chachani
chosen
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
-
B.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
C.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
D.
Chimbay
Chimbay is a town in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, serving as a local administrative and economic center in the region.
-
E.
Chepica
Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a6075a88190aed7afa3b8fd3021 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.