Triple
T29913433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Rules of Evidence |
E759729
|
entity |
| Predicate | hasStructureSimilarTo |
P94757
|
FINISHED |
| Object | Federal Rules of Evidence |
—
|
NE NERFINISHED |
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: Federal Rules of Evidence | Statement: [Washington Rules of Evidence, hasStructureSimilarTo, Federal Rules of Evidence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureSimilarTo Context triple: [Washington Rules of Evidence, hasStructureSimilarTo, Federal Rules of Evidence]
-
A.
hasSimilarityTo
chosen
Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
-
B.
hasSyntaxSimilarTo
Indicates that one entity’s syntax closely resembles or matches the syntactic structure or form of another entity.
-
C.
namedForSimilarityTo
Indicates that one entity is given its name because of a perceived resemblance or likeness to another entity.
-
D.
hasPowerSimilarTo
Indicates that one entity possesses a level or type of power comparable to that of another entity.
-
E.
usesSameSubunitStructureAs
Indicates that two entities share an identical or equivalent arrangement and composition of their constituent subunits within a larger structural framework.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 29, 2026, 6:11 p.m.