Triple
T4673221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas abortion laws |
E103613
|
entity |
| Predicate | doesNotProvideExplicitExceptionFor |
P19461
|
FINISHED |
| Object | rape |
—
|
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: rape | Statement: [Texas abortion laws, doesNotProvideExplicitExceptionFor, rape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotProvideExplicitExceptionFor Context triple: [Texas abortion laws, doesNotProvideExplicitExceptionFor, rape]
-
A.
doesNotProvideExceptionFor
chosen
Indicates that one party or rule fails to grant an exemption, special case, or exclusion to another party or situation.
-
B.
doesNotAutomaticallyProvide
Indicates that something is not supplied or made available by default and requires an explicit action or request to be provided.
-
C.
doesNotDefine
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
D.
doesNotTry
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
E.
hasExceptionConstruct
Indicates that a construct or element is associated with, or defined by, a specific exception-handling construct (such as a try-catch or similar exception mechanism).
- 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.