Triple
T13077069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoking Mountain |
E329605
|
entity |
| Predicate | hasEnglishName |
P3437
|
FINISHED |
| Object | Smoking Mountain |
E329605
|
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: Smoking Mountain | Statement: [Smoking Mountain, hasEnglishName, Smoking Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoking Mountain Context triple: [Smoking Mountain, hasEnglishName, Smoking Mountain]
-
A.
Smoking Mountain
chosen
Smoking Mountain is the English translation of the Nahuatl name for Popocatépetl, an active stratovolcano in central Mexico.
-
B.
Black Mountain
Black Mountain is a Canadian rock band known for its heavy, psychedelic sound and association with the indie label Jagjaguwar.
-
C.
Black Mountain
Black Mountain is a rural locality in Queensland, Australia, known for its scenic hinterland setting near Noosa on the Sunshine Coast.
-
D.
Black Mountain
Black Mountain is a rugged, scenic mountain range in the western part of the Brecon Beacons in Wales, known for its remote moorlands, lakes, and dramatic escarpments.
-
E.
Black Mountain
Black Mountain is a prominent natural hill and landmark in Canberra, Australia, known for its bushland reserve and the Telstra Tower on its summit.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60aaac48190b5b724a19cad5279 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.