Triple
T35128853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rule 16 – Motion to Dismiss |
E1014382
|
entity |
| Predicate | effectOnMerits |
P23809
|
FINISHED |
| Object | may result in dismissal without trial on the merits |
—
|
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: may result in dismissal without trial on the merits | Statement: [Rule 16 – Motion to Dismiss, effectOnMerits, may result in dismissal without trial on the merits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnMerits Context triple: [Rule 16 – Motion to Dismiss, effectOnMerits, may result in dismissal without trial on the merits]
-
A.
upgradeEffect
Indicates that one entity causes an improvement or enhancement in the capabilities, performance, or status of another entity.
-
B.
scoreEffect
Indicates the impact or change that an action, event, or condition has on a score or scoring outcome.
-
C.
awardEffect
Indicates that one entity confers or grants a benefit, recognition, or reward that has a particular impact or consequence on another entity.
-
D.
tierEffect
Indicates how belonging to a particular tier influences or modifies the outcome, behavior, or properties associated with that tier.
-
E.
notableEffect
chosen
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:02 p.m.