Triple
T10178660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frontier Crimes Regulations |
E235924
|
entity |
| Predicate | limitsRight |
P40382
|
FINISHED |
| Object | access to regular courts |
—
|
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: access to regular courts | Statement: [Frontier Crimes Regulations, limitsRight, access to regular courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitsRight Context triple: [Frontier Crimes Regulations, limitsRight, access to regular courts]
-
A.
restrictedRight
chosen
Indicates that an entity’s ability to exercise a particular right is limited, constrained, or subject to specific conditions or prohibitions.
-
B.
limitaCon
Indicates that one entity imposes a restriction, constraint, or limit on another entity or its behavior.
-
C.
coversRight
Indicates that one entity extends over, protects, or conceals the right side of another entity.
-
D.
leftPosition
Indicates that one entity is located to the left side of another entity in space or ordering.
-
E.
limitsPriorityOf
Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd620808190892c6e3074500280 |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:11 p.m.