Triple
T13093918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mahawu |
E310530
|
entity |
| Predicate | nearbyVolcano |
P10443
|
FINISHED |
| Object | Mount Empung |
E1034974
|
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: Mount Empung | Statement: [Mount Mahawu, nearbyVolcano, Mount Empung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Empung Context triple: [Mount Mahawu, nearbyVolcano, Mount Empung]
-
A.
Mount Empung
chosen
Mount Empung is an active stratovolcano in North Sulawesi, Indonesia, forming a twin volcanic complex with the adjacent Mount Lokon.
-
B.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
C.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
D.
Mount Jagungal
Mount Jagungal is a prominent peak in New South Wales’ Snowy Mountains, known for its remote alpine landscapes and popularity with hikers and backcountry skiers.
-
E.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813cd1b881909871a318fdd60672 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73055f0748190863f30b7771e801e |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:03 p.m.