Triple
T10655869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Samaritan laws |
E251085
|
entity |
| Predicate | oftenCovers |
P41336
|
FINISHED |
| Object | cardiopulmonary resuscitation (CPR) |
—
|
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: cardiopulmonary resuscitation (CPR) | Statement: [Good Samaritan laws, oftenCovers, cardiopulmonary resuscitation (CPR)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenCovers Context triple: [Good Samaritan laws, oftenCovers, cardiopulmonary resuscitation (CPR)]
-
A.
typicallyCovers
chosen
Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
-
B.
isFrequentlyCovered
Indicates that an entity is regularly or commonly reported on, discussed, or featured, especially in media or informational sources.
-
C.
alsoCovers
Indicates that something extends its scope or applicability to include an additional subject, area, or case beyond what was originally covered.
-
D.
collectivelyCovers
Indicates that a group of entities, taken together, fully covers or accounts for a specified set, area, or scope.
-
E.
mayCover
Indicates that one entity is permitted or able to extend over, include, or provide coverage for another entity, either partially or fully.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dffa73a08190bf661df600b4ab96 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:07 p.m.