Triple
T19107394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climate Change Act 2008 |
E467691
|
entity |
| Predicate | original2050Target |
P860
|
FINISHED |
| Object | at least 80% reduction from 1990 levels |
—
|
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: at least 80% reduction from 1990 levels | Statement: [Climate Change Act 2008, original2050Target, at least 80% reduction from 1990 levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: original2050Target Context triple: [Climate Change Act 2008, original2050Target, at least 80% reduction from 1990 levels]
-
A.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
B.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
D.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
E.
optimizationTarget
Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391245c8190b1393577b61c4f76 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.