Triple
T24356857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York (UK Parliament constituency) |
E613945
|
entity |
| Predicate | reformActEffect |
P24524
|
FINISHED |
| Object | reduced representation to one MP in 1885 |
—
|
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: reduced representation to one MP in 1885 | Statement: [York (UK Parliament constituency), reformActEffect, reduced representation to one MP in 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformActEffect Context triple: [York (UK Parliament constituency), reformActEffect, reduced representation to one MP in 1885]
-
A.
reformInfluencedBy
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
-
B.
advocatedReformOf
Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
-
C.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
D.
isPartOfReform
chosen
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
E.
associatedReforms
Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.