Triple
T13740383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British coal industry |
E330069
|
entity |
| Predicate | opposedByPolicy |
P437
|
FINISHED |
| Object | Thatcher government pit closure programme |
—
|
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: Thatcher government pit closure programme | Statement: [British coal industry, opposedByPolicy, Thatcher government pit closure programme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedByPolicy Context triple: [British coal industry, opposedByPolicy, Thatcher government pit closure programme]
-
A.
opposedPolicyContext
Indicates that an entity opposed a specific policy within a particular situational, temporal, or institutional context.
-
B.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
C.
opposedByGroup
Indicates that an action, proposal, or entity is met with opposition or resistance from a particular group.
-
D.
opposedPolicyOfPredecessor
Indicates that one entity actively rejected, resisted, or worked against the policies established by its predecessor.
-
E.
targetedByPolicy
Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.