Triple
T20974930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Miscanti |
E516598
|
entity |
| Predicate | hasNameElement |
P3097
|
FINISHED |
| Object | Cerro |
—
|
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: Cerro | Statement: [Cerro Miscanti, hasNameElement, Cerro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro Context triple: [Cerro Miscanti, hasNameElement, 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 Durika
Cerro Durika is a prominent mountain peak in the Talamanca Range of southern Central America, known for its rugged terrain and rich biodiversity.
-
D.
Cerro Jefe
Cerro Jefe is a prominent mountain in central Panama known for its cloud forests, biodiversity, and panoramic views over the surrounding isthmus.
-
E.
Cerro del Crestón
Cerro del Crestón is a prominent rocky hill on the Pacific coast of Mazatlán, Mexico, known for its panoramic ocean views and as a landmark natural promontory.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.