Triple
T23359186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hibok-Hibok |
E593135
|
entity |
| Predicate | majorEruptionImpact |
P53970
|
FINISHED |
| Object | destruction on Camiguin Island in the mid-20th century |
—
|
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: destruction on Camiguin Island in the mid-20th century | Statement: [Mount Hibok-Hibok, majorEruptionImpact, destruction on Camiguin Island in the mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEruptionImpact Context triple: [Mount Hibok-Hibok, majorEruptionImpact, destruction on Camiguin Island in the mid-20th century]
-
A.
eruptionImpact
chosen
Indicates the effects or consequences that a volcanic eruption has on surrounding entities, environments, or systems.
-
B.
lastEruptionImpact
Indicates the effect or consequences resulting from the most recent volcanic eruption.
-
C.
eruptionPhenomena
Indicates the specific observable events or manifestations that occur during a volcanic eruption.
-
D.
impactOfDisasters
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
E.
GreatEruptionPeakMagnitude
Indicates the peak intensity or maximum magnitude reached during a Great Eruption event.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:29 p.m.