Triple
T9948214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pame |
E195259
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sierra Gorda |
E711016
|
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: Sierra Gorda | Statement: [Pame, region, Sierra Gorda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra Gorda Context triple: [Pame, region, Sierra Gorda]
-
A.
Sierra Gorda
Sierra Gorda is a small mining town and commune in northern Chile’s Antofagasta Region, known for its copper mining activities in the Atacama Desert.
-
B.
Sierra Gorda
chosen
Sierra Gorda is a rugged, biodiverse mountain region in central Mexico known for its dramatic canyons, forests, and rich ecological and cultural heritage.
-
C.
Sierra Alta
Sierra Alta is a mountainous region in the Mexican state of Hidalgo known for its rugged terrain and rural communities.
-
D.
Sierra de la Laguna
Sierra de la Laguna is a biodiverse mountain range in southern Baja California Sur, Mexico, known for its pine–oak forests, endemic species, and status as a protected biosphere reserve.
-
E.
Sierra Norte de Guadalajara
Sierra Norte de Guadalajara is a mountainous, sparsely populated area in northern Guadalajara, Spain, known for its rugged landscapes, traditional villages, and natural parks.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d5c6fdc81909b44d0b321201222 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:45 p.m.