Triple
T4411517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Liberties Act of 1988 |
E94862
|
entity |
| Predicate | reparationAmountPerPerson |
P56119
|
FINISHED |
| Object | $20,000 |
—
|
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: $20,000 | Statement: [Civil Liberties Act of 1988, reparationAmountPerPerson, $20,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reparationAmountPerPerson Context triple: [Civil Liberties Act of 1988, reparationAmountPerPerson, $20,000]
-
A.
warIndemnityAmount
Indicates the amount of financial compensation required or paid as indemnity as a result of a war or armed conflict.
-
B.
reparationsType
Indicates the specific category or form of reparations involved in a reparative action or obligation between entities.
-
C.
statutoryLimitPerIncidentUSD
Indicates the maximum monetary amount, in U.S. dollars, that is legally allowed to be claimed or paid for a single incident under a specific statute or regulation.
-
D.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
E.
totalAidAmountAdjusted
Indicates the total amount of aid provided, after applying any relevant adjustments such as corrections, discounts, or recalculations.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:29 p.m.