Triple
T570067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Rules of Evidence |
E13641
|
entity |
| Predicate | mayBeAdoptedBy |
P2187
|
FINISHED |
| Object | state courts |
—
|
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: state courts | Statement: [Federal Rules of Evidence, mayBeAdoptedBy, state courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeAdoptedBy Context triple: [Federal Rules of Evidence, mayBeAdoptedBy, state courts]
-
A.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
-
B.
canAdopt
Indicates that one entity has the ability or permission to adopt another entity.
-
C.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
D.
canBeAdaptedBy
chosen
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
-
E.
adoptedWith
Indicates that two or more entities were adopted at the same time or as part of the same adoption event or 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b057e708190b4e5975516e58993 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.