Triple
T13144990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokopo |
E312312
|
entity |
| Predicate | nearbyVolcanoes |
P10443
|
FINISHED |
| Object | Tavurvur |
E312309
|
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: Tavurvur | Statement: [Kokopo, nearbyVolcanoes, Tavurvur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tavurvur Context triple: [Kokopo, nearbyVolcanoes, Tavurvur]
-
A.
Tavurvur
chosen
Tavurvur is a highly active stratovolcano near Rabaul in Papua New Guinea, known for its frequent explosive eruptions and significant ash plumes.
-
B.
Mount Werong
Mount Werong is a prominent peak in New South Wales, Australia, known as the loftiest summit within the Blue Mountains region.
-
C.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
D.
Mutnovsky volcano
Mutnovsky volcano is a large, active stratovolcano on Russia’s Kamchatka Peninsula, known for its frequent eruptions, geothermal activity, and dramatic volcanic landscapes.
-
E.
Kharimkotan Volcano
Kharimkotan Volcano is a stratovolcano located on Kharimkotan Island in the central Kuril Islands chain of Russia, known for its explosive eruptions and associated landslides.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d809948190aced5ce377402463 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:10 p.m.