Triple
T20199275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelio Zelaya |
E493168
|
entity |
| Predicate | operationalArea |
P794
|
FINISHED |
| Object | Alto Perú |
—
|
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: Alto Perú | Statement: [Cornelio Zelaya, operationalArea, Alto Perú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alto Perú Context triple: [Cornelio Zelaya, operationalArea, Alto Perú]
-
A.
Alto Perú
chosen
Alto Perú was the colonial-era region in the central Andes that roughly corresponds to modern-day Bolivia and was a key mining and administrative center of the Spanish Empire in South America.
-
B.
Guarayu
Guarayu is an indigenous language of the Tupi–Guaraní family spoken primarily by the Guarayu people in eastern Bolivia.
-
C.
Lumbaquí
Lumbaquí is a small town in northeastern Ecuador that serves as a local hub within the Amazonian Sucumbíos Province.
-
D.
Andahuaylas
Andahuaylas is a city in the southern Peruvian Andes known as a commercial and cultural center for the surrounding rural highland communities.
-
E.
Cuyoño
Cuyoño is an Austronesian language spoken primarily in the Cuyo Islands and parts of Palawan in the Philippines.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8c0eac81908ffdf72d71d2e5d2 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.