Triple
T16599012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PASPA |
E403282
|
entity |
| Predicate | effectOfInvalidation |
P33292
|
FINISHED |
| Object | allowed states to legalize and regulate sports betting |
—
|
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: allowed states to legalize and regulate sports betting | Statement: [PASPA, effectOfInvalidation, allowed states to legalize and regulate sports betting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfInvalidation Context triple: [PASPA, effectOfInvalidation, allowed states to legalize and regulate sports betting]
-
A.
invalidated
chosen
Indicates that one entity has rendered another entity null, void, or no longer legally or logically effective.
-
B.
partiallyInvalidatedBy
Indicates that the validity or effect of something is reduced or weakened, but not completely nullified, by another action or entity.
-
C.
effectOfDisabling
Indicates the outcome or consequence that results when something is turned off, deactivated, or made nonfunctional.
-
D.
canInvalidate
Indicates that one entity has the ability or authority to render another entity invalid, ineffective, or no longer in force.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d74738c81909711654cf38af150 |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.