Triple
T5250344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York Law School |
E118570
|
entity |
| Predicate | usesAssessmentMethods |
P33646
|
FINISHED |
| Object | coursework |
—
|
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: coursework | Statement: [York Law School, usesAssessmentMethods, coursework]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAssessmentMethods Context triple: [York Law School, usesAssessmentMethods, coursework]
-
A.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
requiresAssessmentOf
Indicates that one entity necessitates an evaluation, review, or judgment to be performed on another entity before proceeding or fulfilling a condition.
-
C.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
D.
usesInvestigativeMethods
Indicates that an entity employs investigative techniques or procedures to gather information, analyze evidence, or uncover facts.
-
E.
usesMethods
chosen
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.