Triple
T22230272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nominated Member of Parliament scheme |
E549446
|
entity |
| Predicate | supportArguments |
P1853
|
FINISHED |
| Object | enhances diversity of views in Parliament |
—
|
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: enhances diversity of views in Parliament | Statement: [Nominated Member of Parliament scheme, supportArguments, enhances diversity of views in Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportArguments Context triple: [Nominated Member of Parliament scheme, supportArguments, enhances diversity of views in Parliament]
-
A.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
-
B.
support
chosen
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
C.
supportsProsecutionIn
Indicates that an entity provides assistance or backing to the prosecution side within a specified legal case or jurisdiction.
-
D.
supportsTheory
Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
-
E.
supportedAfter
Indicates that one entity provided support to another only after a specified event, time, or condition had occurred.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf2a26c81908aaf614d7c75e219 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.