Triple
T33739368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loads-a-Money |
E864516
|
entity |
| Predicate | associatedWithPoliticalDebate |
P50993
|
FINISHED |
| Object | Thatcher-era economic policies |
—
|
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-era economic policies | Statement: [Loads-a-Money, associatedWithPoliticalDebate, Thatcher-era economic policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalDebate Context triple: [Loads-a-Money, associatedWithPoliticalDebate, Thatcher-era economic policies]
-
A.
relatedToDebate
chosen
Indicates a relationship in which something is connected or relevant to a debate, discussion, or argumentative exchange.
-
B.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
C.
hasDebateAround
Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
-
D.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
E.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:44 a.m.