Triple
T14054251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruapehu Alpine Lifts |
E338169
|
entity |
| Predicate | hasRiskContext |
P107580
|
FINISHED |
| Object | volcanic activity on Mount Ruapehu |
—
|
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: volcanic activity on Mount Ruapehu | Statement: [Ruapehu Alpine Lifts, hasRiskContext, volcanic activity on Mount Ruapehu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiskContext Context triple: [Ruapehu Alpine Lifts, hasRiskContext, volcanic activity on Mount Ruapehu]
-
A.
safetyContext
chosen
Indicates the circumstances, conditions, or environment that affect how safe an action, object, or situation is.
-
B.
hasCountryOfRisk
Indicates that an entity is associated with a country where it faces significant exposure, vulnerability, or potential risk.
-
C.
hasWithdrawalRisk
Indicates that discontinuing or reducing something is associated with a risk of withdrawal effects or adverse reactions.
-
D.
hasRankContext
Indicates that an entity’s rank or ordering is defined, interpreted, or constrained within a specific contextual framework or situation.
-
E.
hasJurisdictionContext
Indicates that a particular legal or regulatory authority, scope, or domain applies to or governs the referenced relationship or action.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.