Triple
T32152338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barker balancing test |
E821191
|
entity |
| Predicate | weighsInterest |
P173642
|
FINISHED |
| Object | defendant’s interest in a speedy trial |
—
|
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: defendant’s interest in a speedy trial | Statement: [Barker balancing test, weighsInterest, defendant’s interest in a speedy trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weighsInterest Context triple: [Barker balancing test, weighsInterest, defendant’s interest in a speedy trial]
-
A.
balancesInterest
Indicates that an entity manages or adjusts multiple interests or priorities so that none is disproportionately favored over the others.
-
B.
isHeavilyWeightedToward
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
-
C.
representsInterestOf
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
D.
interestMayBe
Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
-
E.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
- F. None of above. chosen
Provenance (4 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9eccab88190a2895cbb0332c5a7 |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:31 a.m.