Triple
T20899625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal "We Can Conquer Unemployment" programme |
E514634
|
entity |
| Predicate | proposedMeasure |
P32
|
FINISHED |
| Object | large-scale public works |
—
|
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: large-scale public works | Statement: [Liberal "We Can Conquer Unemployment" programme, proposedMeasure, large-scale public works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedMeasure Context triple: [Liberal "We Can Conquer Unemployment" programme, proposedMeasure, large-scale public works]
-
A.
proposedLaw
Indicates that an entity has formally put forward a law or legislative measure for consideration or approval.
-
B.
proposedAmendment
Indicates that one entity has formally suggested a change or addition (an amendment) to another entity, such as a document, law, or agreement.
-
C.
proposalType
Indicates the specific category or kind of proposal associated with an entity or event.
-
D.
proposes
chosen
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
E.
adoptedMeasure
Indicates that an entity has formally accepted and put into effect a specific measure, policy, or course of action.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f92bd88190b59b2131ad1d9aa1 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.