Triple
T5298232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Peru |
E119907
|
entity |
| Predicate | hasVolcano |
P6356
|
FINISHED |
| Object | Chachani |
E123701
|
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: Chachani | Statement: [Southern Peru, hasVolcano, Chachani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chachani Context triple: [Southern Peru, hasVolcano, 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.
Chowchillan
A Chowchillan is a resident or native of the city of Chowchilla in California.
-
E.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8506a90c8190bf311f280a061d1a |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10e8212081908376eafc0291e078 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:53 p.m.