Triple
T10372426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Porteño |
E244416
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Cerro |
E373652
|
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: Cerro | Statement: [Cerro Porteño, shortName, Cerro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro Context triple: [Cerro Porteño, shortName, Cerro]
-
A.
Cerro
chosen
Cerro is a Spanish term commonly used in place names throughout Latin America to denote a hill or mountain.
-
B.
Cerro Baúl
Cerro Baúl is a prominent flat-topped mountain in southern Peru that served as a key administrative and ceremonial center of the Wari civilization.
-
C.
Cerro Jefe
Cerro Jefe is a prominent mountain in central Panama known for its cloud forests, biodiversity, and panoramic views over the surrounding isthmus.
-
D.
Cerro López
Cerro López is a prominent mountain peak in Argentina’s Patagonia region, known for its panoramic views over Nahuel Huapi Lake and popular hiking and skiing routes.
-
E.
Cerro Castillo
Cerro Castillo is a striking, jagged mountain in Chilean Patagonia known for its castle-like rock formations and challenging trekking routes.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956469988190b5a9b2dfe062379f |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, 12:01 p.m.