Triple
T3323905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To-morrow: A Peaceful Path to Real Reform |
E69863
|
entity |
| Predicate | proposesSolution |
P39690
|
FINISHED |
| Object | planned garden cities owned by the community |
—
|
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: planned garden cities owned by the community | Statement: [To-morrow: A Peaceful Path to Real Reform, proposesSolution, planned garden cities owned by the community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesSolution Context triple: [To-morrow: A Peaceful Path to Real Reform, proposesSolution, planned garden cities owned by the community]
-
A.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
B.
offersSolution
chosen
Indicates that one entity provides or proposes a remedy, answer, or way to resolve a problem or need experienced by another entity.
-
C.
resolutionIdea
Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
-
D.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
E.
solved
Indicates that one entity has successfully found a solution or answer to a problem, task, or challenge involving another entity.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13ffcb48190a8b90543aac9e6e0 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.