Triple
T38257674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LewRockwell.com |
E1017836
|
entity |
| Predicate | hasStanceOnGovernment |
P193329
|
FINISHED |
| Object | minimal state |
—
|
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: minimal state | Statement: [LewRockwell.com, hasStanceOnGovernment, minimal state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStanceOnGovernment Context triple: [LewRockwell.com, hasStanceOnGovernment, minimal state]
-
A.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
-
B.
hasViewOnGovernment
chosen
Indicates that an entity holds a particular opinion, stance, or perspective regarding government or governmental matters.
-
C.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
D.
politicalPositionOnFederalGovernment
Indicates the stance or viewpoint an entity holds regarding the role, powers, and actions of the federal government.
-
E.
homeCountryGovernmentStance
Indicates the official position or policy adopted by an entity’s home country government toward a particular issue, actor, or situation.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00b2b425a8819091ff65695e98c3af |
completed | May 10, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a00b06efa248190b2d16b4889185119 |
completed | May 10, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:30 p.m.