Triple
T17203094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna de Paucarcocha |
E417528
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yauyos Province |
—
|
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: Yauyos Province | Statement: [Laguna de Paucarcocha, locatedIn, Yauyos Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yauyos Province Context triple: [Laguna de Paucarcocha, locatedIn, Yauyos Province]
-
A.
Yauyos Province
chosen
Yauyos Province is an inland administrative division of Peru known for its high Andean landscapes, traditional Quechua-speaking communities, and part of the Nor Yauyos-Cochas scenic reserve.
-
B.
Chincha Province
Chincha Province is an administrative division on the southern coast of Peru, known for its Afro-Peruvian cultural heritage and agricultural production.
-
C.
Hualgayoc Province
Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
-
D.
Talara Province
Talara Province is a coastal administrative division in northwestern Peru known for its oil industry and fishing activities.
-
E.
Challapata Province
Challapata Province is an administrative province in Bolivia’s Oruro Department, known for its high-altitude Andean landscapes and agricultural communities.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db11fc881908291bf29cc740e09 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:38 a.m.