Triple
T25433996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Organ Transplant Act |
E637328
|
entity |
| Predicate | legalStatusOfOrganSales |
P106223
|
FINISHED |
| Object | illegal |
—
|
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: illegal | Statement: [National Organ Transplant Act, legalStatusOfOrganSales, illegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfOrganSales Context triple: [National Organ Transplant Act, legalStatusOfOrganSales, illegal]
-
A.
legalStatusInMostCountries
Indicates the typical legal classification or treatment of something across the majority of countries.
-
B.
legalStatusOfItems
chosen
Indicates the legal classification or regulatory standing that applies to specified items.
-
C.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
-
D.
legalStatusOfProstitution
Indicates the legal status or regulatory condition under which prostitution is permitted, restricted, or prohibited in a given jurisdiction.
-
E.
legalStatusOfGift
Indicates the legal classification or validity of a gift within a given legal or regulatory framework.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 21, 2026, 1:59 p.m.