Triple
T26775677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multistate Bar Examination |
E670112
|
entity |
| Predicate | isUniformAcrossJurisdictions |
P4880
|
FINISHED |
| Object | largely true |
—
|
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: largely true | Statement: [Multistate Bar Examination, isUniformAcrossJurisdictions, largely true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniformAcrossJurisdictions Context triple: [Multistate Bar Examination, isUniformAcrossJurisdictions, largely true]
-
A.
usedUniformlyAcrossCountry
chosen
Indicates that something is applied or practiced in the same way throughout the entire country without regional variation.
-
B.
existsInJurisdiction
Indicates that an entity is located within, falls under, or is subject to the authority of a particular legal or administrative jurisdiction.
-
C.
isUniform
Indicates that all elements or parts within a given set, structure, or context share the same characteristics or value.
-
D.
isStatewide
Indicates that something applies uniformly across an entire state or is valid throughout the whole state jurisdiction.
-
E.
affectsJurisdictions
Indicates that something has an impact on, or brings about changes within, one or more legal or administrative jurisdictions.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6193294948190adeecbad17283103 |
completed | May 2, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:04 a.m.