Triple
T28324865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | orgone energy |
E717378
|
entity |
| Predicate | regulatoryActionAgainst |
P12442
|
FINISHED |
| Object | United States Food and Drug Administration |
—
|
NE NERFINISHED |
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: United States Food and Drug Administration | Statement: [orgone energy, regulatoryActionAgainst, United States Food and Drug Administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatoryActionAgainst Context triple: [orgone energy, regulatoryActionAgainst, United States Food and Drug Administration]
-
A.
regulatorAction
Indicates an action taken by a regulatory authority toward an entity, such as enforcing rules, issuing directives, or applying sanctions.
-
B.
governmentAction
chosen
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
C.
adverseAction
Indicates that one entity takes a negative, harmful, or unfavorable action or decision against another entity.
-
D.
notableRegulatoryEvent
Indicates a significant regulatory action, decision, or change that has materially affected or is closely associated with the subject entity.
-
E.
regulatoryResponse
Indicates a reaction, decision, or adjustment made by a regulatory body in response to a particular event, condition, or entity’s behavior.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 12:27 a.m.