Triple
T32958508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Net Zero Strategy |
E843169
|
entity |
| Predicate | emissionsScope |
P170290
|
FINISHED |
| Object | economy-wide greenhouse gas emissions |
—
|
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: economy-wide greenhouse gas emissions | Statement: [UK Net Zero Strategy, emissionsScope, economy-wide greenhouse gas emissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsScope Context triple: [UK Net Zero Strategy, emissionsScope, economy-wide greenhouse gas emissions]
-
A.
emissionsCoverage
chosen
Indicates the extent to which emissions from a given source or activity are included within a specified accounting, reporting, or regulatory boundary.
-
B.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
C.
emissionsEra
Indicates the time period or era during which the emissions associated with an entity occur or are recorded.
-
D.
operationalScope
Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
-
E.
emissionType
Indicates the specific category or kind of emission associated with an entity or activity.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d176c02c819095d53dec58a5c39c |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:21 a.m.