Triple
T28198613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACT New Zealand |
E716510
|
entity |
| Predicate | positionOnClimatePolicy |
P4795
|
FINISHED |
| Object | market-based climate policies |
—
|
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: market-based climate policies | Statement: [ACT New Zealand, positionOnClimatePolicy, market-based climate policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnClimatePolicy Context triple: [ACT New Zealand, positionOnClimatePolicy, market-based climate policies]
-
A.
positionOnClimateChange
Indicates a stance or viewpoint an entity holds regarding climate change, such as its causes, impacts, and appropriate responses or policies.
-
B.
policyStance
chosen
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
C.
politicalPositionDescribed
Indicates that a political role, office, or stance is being characterized or specified in descriptive terms.
-
D.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
E.
favorsClimate
Indicates a relationship where one entity supports, prefers, or promotes a particular climate or climate-related condition over others.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 10:29 p.m.