Triple
T5275467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Merapi National Park |
E119361
|
entity |
| Predicate | volcanoActivityLevel |
P8376
|
FINISHED |
| Object | one of the most active volcanoes in Indonesia |
—
|
LITERAL 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: one of the most active volcanoes in Indonesia | Statement: [Mount Merapi National Park, volcanoActivityLevel, one of the most active volcanoes in Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanoActivityLevel Context triple: [Mount Merapi National Park, volcanoActivityLevel, one of the most active volcanoes in Indonesia]
-
A.
volcanicStatus
chosen
Indicates the current activity state or condition of a volcano, such as active, dormant, or extinct.
-
B.
hasVolcanicActivity
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
C.
eruptionVEI
Indicates the Volcanic Explosivity Index (VEI) assigned to a particular volcanic eruption event.
-
D.
volcanoNumber
Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
-
E.
eruptionFrequency
Indicates how often an eruption event occurs within a given time period.
- F. None of above.
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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.