Triple
T4673233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas abortion laws |
E103613
|
entity |
| Predicate | criminalPenaltyMaximum |
P53458
|
FINISHED |
| Object | up to life imprisonment for some violations |
—
|
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: up to life imprisonment for some violations | Statement: [Texas abortion laws, criminalPenaltyMaximum, up to life imprisonment for some violations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criminalPenaltyMaximum Context triple: [Texas abortion laws, criminalPenaltyMaximum, up to life imprisonment for some violations]
-
A.
maximumImprisonmentPower
chosen
Indicates the highest duration or extent of imprisonment that an authority is legally empowered to impose.
-
B.
durationOfImprisonment
Indicates the length of time that an entity is or was held in imprisonment.
-
C.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
-
D.
deathPeninsula
Indicates a relationship where a death occurs on, near, or in association with a specific peninsula.
-
E.
sentencedTo
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
- 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.