Triple
T1240214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prohibition era in the United States |
E26639
|
entity |
| Predicate | HooverDescription |
P25881
|
FINISHED |
| Object | "a great social and economic experiment" |
—
|
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: "a great social and economic experiment" | Statement: [Prohibition era in the United States, HooverDescription, "a great social and economic experiment"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HooverDescription Context triple: [Prohibition era in the United States, HooverDescription, "a great social and economic experiment"]
-
A.
hooverHomeState
Indicates the state or condition of a home after it has been vacuumed (hoovered).
-
B.
hooverPopularVote
Indicates the number or share of popular votes received by Hoover in an election.
-
C.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
-
D.
DysonBubbleDefinition
Indicates the conceptual specification or characterization of a Dyson bubble structure and how its components are arranged or function together.
-
E.
describesApparatus
Indicates that one entity provides a description or specification of an apparatus used by another entity or within a particular context.
- F. None of above. chosen
Provenance (4 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf4343e48190a232abd8475880a0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bce611ec819092cb13d354d0903e |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:47 p.m.