Triple
T193482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Recovery Administration |
E3768
|
entity |
| Predicate | workerProtection |
P1040
|
FINISHED |
| Object | minimum wage standards |
—
|
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: minimum wage standards | Statement: [National Recovery Administration, workerProtection, minimum wage standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workerProtection Context triple: [National Recovery Administration, workerProtection, minimum wage standards]
-
A.
protects
chosen
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
B.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
protectedIn
Indicates that one entity is safeguarded, preserved, or kept safe within the context, environment, or jurisdiction of another entity.
-
D.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
E.
protectedCategory
Indicates that one entity is classified under a legally or formally recognized group that is granted special protection from discrimination or adverse treatment.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2596810c48190ab687c0c2efaa9e2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.