Triple
T2533140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abrams v. United States |
E56207
|
entity |
| Predicate | standardAppliedByMajority |
P8823
|
FINISHED |
| Object | bad tendency test |
—
|
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: bad tendency test | Statement: [Abrams v. United States, standardAppliedByMajority, bad tendency test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardAppliedByMajority Context triple: [Abrams v. United States, standardAppliedByMajority, bad tendency test]
-
A.
standardApplied
chosen
Indicates that a particular standard, rule, or guideline has been put into effect or used as the basis for an action or decision in the relationship.
-
B.
majorityVote
Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
-
C.
majorityType
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
D.
hasMajorityOpinionBy
Indicates that a majority of the relevant group or decision-making body holds or supports the opinion expressed by the referenced entity.
-
E.
hasMajorityOf
Indicates that one entity possesses or controls more than half of the total quantity, members, or share of 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.