Triple
T21711676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cáceres |
E535920
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sierra de San Pedro |
—
|
NE NERFINISHED |
How this triple was built (3 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: Sierra de San Pedro | Statement: [Province of Cáceres, contains, Sierra de San Pedro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra de San Pedro Context triple: [Province of Cáceres, contains, Sierra de San Pedro]
-
A.
Sierra de San Luis
Sierra de San Luis is a mountain range located on Mexico’s Baja California Peninsula, known for its rugged terrain and desert landscapes.
-
B.
Sierra del Nayar
Sierra del Nayar is a mountainous region in western Mexico known as a traditional homeland of the Cora people and a center of their indigenous culture.
-
C.
Sierra de Celaque
Sierra de Celaque is a mountainous region in western Honduras known for its cloud forests, rich biodiversity, and status as a national park surrounding the country’s highest peak.
-
D.
Sierra de Soteapan
Sierra de Soteapan is a mountainous region in southern Veracruz, Mexico, known for its rich biodiversity and indigenous Popoluca communities.
-
E.
Sierra de La Culata
Sierra de La Culata is a high Andean mountain range in western Venezuela known for its rugged peaks, páramo ecosystems, and protected national park status.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sierra de San Pedro Target entity description: Sierra de San Pedro is a mountain range in western Spain known for its Mediterranean forests, rich biodiversity, and role as a natural border between the provinces of Cáceres and Badajoz.
-
A.
Sierra de San Luis
Sierra de San Luis is a mountain range located on Mexico’s Baja California Peninsula, known for its rugged terrain and desert landscapes.
-
B.
Sierra del Nayar
Sierra del Nayar is a mountainous region in western Mexico known as a traditional homeland of the Cora people and a center of their indigenous culture.
-
C.
Sierra de Celaque
Sierra de Celaque is a mountainous region in western Honduras known for its cloud forests, rich biodiversity, and status as a national park surrounding the country’s highest peak.
-
D.
Sierra de Soteapan
Sierra de Soteapan is a mountainous region in southern Veracruz, Mexico, known for its rich biodiversity and indigenous Popoluca communities.
-
E.
Sierra de La Culata
Sierra de La Culata is a high Andean mountain range in western Venezuela known for its rugged peaks, páramo ecosystems, and protected national park status.
- F. None of above. chosen
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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53450108190ba1c9e3cc3a0ab89 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.