Triple
T13654610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket Docket |
E326824
|
entity |
| Predicate | impactOnLitigants |
P90225
|
FINISHED |
| Object | increased litigation costs in short time frame |
—
|
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: increased litigation costs in short time frame | Statement: [Rocket Docket, impactOnLitigants, increased litigation costs in short time frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnLitigants Context triple: [Rocket Docket, impactOnLitigants, increased litigation costs in short time frame]
-
A.
effectOnLitigation
chosen
Indicates the impact or influence that one factor, event, or condition has on the course, strategy, or outcome of legal proceedings.
-
B.
impactOnCaseFlow
Indicates how an event, action, or decision affects the progression, timing, or movement of cases through a process or system.
-
C.
impactOnLaw
Indicates the effect or influence that one entity, event, or action has on laws, legal rules, or the legal system.
-
D.
affectedCourt
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
-
E.
opposingParticipants
Indicates that the related entities are participants positioned in opposition to each other within the same interaction, event, or context.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.