Triple
T34410023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NZX Derivatives Market |
E883229
|
entity |
| Predicate | riskManagementToolFor |
P80826
|
FINISHED |
| Object | dairy price volatility |
—
|
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: dairy price volatility | Statement: [NZX Derivatives Market, riskManagementToolFor, dairy price volatility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskManagementToolFor Context triple: [NZX Derivatives Market, riskManagementToolFor, dairy price volatility]
-
A.
riskManagement
Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
-
B.
riskAssessmentBy
Indicates that a risk assessment is performed, evaluated, or provided by a specific agent or entity.
-
C.
AlexanderRisk
Indicates a relationship where Alexander is exposed to, associated with, or responsible for a particular risk or potential adverse outcome.
-
D.
riskManagementMechanism
chosen
Indicates a mechanism, process, or control used to identify, assess, mitigate, or monitor risks associated with an entity or activity.
-
E.
riskBasis
Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.