Triple
T19995676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veniaminof ice cap |
E494185
|
entity |
| Predicate | hasHazardRelation |
P138266
|
FINISHED |
| Object | potential ice–volcano interaction hazards |
—
|
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: potential ice–volcano interaction hazards | Statement: [Veniaminof ice cap, hasHazardRelation, potential ice–volcano interaction hazards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHazardRelation Context triple: [Veniaminof ice cap, hasHazardRelation, potential ice–volcano interaction hazards]
-
A.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
-
B.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
C.
hasNavigationHazardRelevance
Indicates that something is relevant to, affected by, or poses a potential hazard to navigation.
-
D.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
E.
hasObjectiveHazards
Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
- F. None of above. chosen
Provenance (4 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:32 p.m.