Triple
T5654610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act 2011 |
E124585
|
entity |
| Predicate | relatedToPolicy |
P48852
|
FINISHED |
| Object | education reform in England under the Coalition Government |
—
|
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: education reform in England under the Coalition Government | Statement: [Education Act 2011, relatedToPolicy, education reform in England under the Coalition Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToPolicy Context triple: [Education Act 2011, relatedToPolicy, education reform in England under the Coalition Government]
-
A.
linkedToPolicy
chosen
Indicates that an entity is associated or connected to a specific policy, such that the policy governs, influences, or is relevant to that entity.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
associatedPolis
Indicates a relationship where an entity is linked or connected to a particular city-state (polis), typically as its relevant or related political unit.
-
D.
targetedByPolicy
Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.