Triple
T4673228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas abortion laws |
E103613
|
entity |
| Predicate | SB8StatutoryDamagesAmount |
P28687
|
FINISHED |
| Object | at least $10,000 per abortion |
—
|
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: at least $10,000 per abortion | Statement: [Texas abortion laws, SB8StatutoryDamagesAmount, at least $10,000 per abortion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SB8StatutoryDamagesAmount Context triple: [Texas abortion laws, SB8StatutoryDamagesAmount, at least $10,000 per abortion]
-
A.
statutoryLimitPerIncidentUSD
chosen
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.
-
B.
approximateNumberAwarded
Indicates the estimated quantity of awards or recognitions given in a particular context or event.
-
C.
currencyOfDamageCost
Indicates the monetary currency in which a specified damage cost amount is expressed.
-
D.
legalCharge
Indicates that an authority has formally accused an entity of committing a specific legal offense or violation.
-
E.
economicDamageApprox
Indicates that one entity has caused or is associated with an estimated or approximate amount of economic damage to another entity or system.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.