Triple
T6115902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan de Azúcar National Park |
E136358
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Caldera |
E62713
|
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: Caldera | Statement: [Pan de Azúcar National Park, near, Caldera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caldera Context triple: [Pan de Azúcar National Park, near, Caldera]
-
A.
Caldera
chosen
Caldera is a coastal Chilean port city known for its beaches, fishing industry, and role as a gateway to the Atacama Desert.
-
B.
Aira Caldera
Aira Caldera is a large, active volcanic caldera in southern Kyushu, Japan, known for its dramatic geology and frequent eruptions.
-
C.
Akan Caldera
Akan Caldera is a large volcanic caldera in eastern Hokkaido, Japan, known for its scenic crater lakes, geothermal features, and active volcanic landscape.
-
D.
Silverthrone Caldera
Silverthrone Caldera is a large, remote volcanic caldera and ice-covered massif in the Coast Mountains of British Columbia, Canada, known for its extensive glaciation and rugged terrain.
-
E.
Toya caldera
Toya caldera is a large volcanic caldera in Hokkaido, Japan, known for its scenic lake, hot springs, and frequent volcanic activity.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.