Triple
T16576089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracias |
E402712
|
entity |
| Predicate | nearbyMountain |
P10602
|
FINISHED |
| Object | Cerro Las Minas |
E92188
|
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 Las Minas | Statement: [Gracias, nearbyMountain, Cerro Las Minas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro Las Minas Context triple: [Gracias, nearbyMountain, Cerro Las Minas]
-
A.
Cerro Las Minas
chosen
Cerro Las Minas is the tallest mountain in Honduras, located in the Celaque National Park and known for its cloud forests and rich biodiversity.
-
B.
Cerro Verde
Cerro Verde is a volcanic mountain and national park in western El Salvador known for its cloud forests, scenic viewpoints, and proximity to the Izalco and Santa Ana volcanoes.
-
C.
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.
-
D.
Cerro San Luis
Cerro San Luis is a prominent hill in Santiago, Chile, known for its urban green space, hiking trails, and panoramic views of the city.
-
E.
Cerro Naiguatá
Cerro Naiguatá is a prominent mountain peak in northern Venezuela, known for its scenic views over the Caribbean coast and the Caracas region.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595cb65481909be62a52deff3d44 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091891c5081908f37598a17417c94 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.