Triple
T31308061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York common law courts |
E798387
|
entity |
| Predicate | contrastInRemediesWith |
P155308
|
FINISHED |
| Object | injunctions (equitable remedies) |
—
|
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: injunctions (equitable remedies) | Statement: [New York common law courts, contrastInRemediesWith, injunctions (equitable remedies)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastInRemediesWith Context triple: [New York common law courts, contrastInRemediesWith, injunctions (equitable remedies)]
-
A.
contrastExplanation
chosen
Indicates an explanation that highlights differences between two or more entities, ideas, or situations by contrasting them.
-
B.
contrastUse
Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
-
C.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
D.
traditionalContrastWith
Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
-
E.
exploresContrastBetween
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 29, 2026, 9:14 p.m.