Triple
T10625512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | False Claims Act |
E250310
|
entity |
| Predicate | retaliationRemedies |
P2242
|
FINISHED |
| Object | reinstatement |
—
|
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: reinstatement | Statement: [False Claims Act, retaliationRemedies, reinstatement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retaliationRemedies Context triple: [False Claims Act, retaliationRemedies, reinstatement]
-
A.
remedy
Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
-
B.
remedySought
chosen
Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
-
C.
reparationsType
Indicates the specific category or form of reparations involved in a reparative action or obligation between entities.
-
D.
rehabilitates
Indicates that one entity restores, reforms, or helps another entity return to a previous or improved functional, social, or legal state after damage, illness, or wrongdoing.
-
E.
claimsInsultBy
Indicates that one entity asserts or alleges that another entity has insulted them.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df80a30c81909f36fe221cf68822 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:54 p.m.