Triple
T13454549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juris Doctor curriculum at University of Virginia School of Law |
E311194
|
entity |
| Predicate | includesYear |
P109569
|
FINISHED |
| Object | first-year curriculum |
—
|
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: first-year curriculum | Statement: [Juris Doctor curriculum at University of Virginia School of Law, includesYear, first-year curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesYear Context triple: [Juris Doctor curriculum at University of Virginia School of Law, includesYear, first-year curriculum]
-
A.
doesNotIncludeYear
Indicates that something is specified or presented without including a year component.
-
B.
optionalYearBefore
Indicates that one entity may, but does not necessarily, occur or be valid in a year that precedes the year associated with another entity.
-
C.
coversYearsTo
Indicates a temporal relationship where one entity spans, includes, or extends up to a specified year or range of years represented by the other entity.
-
D.
encounteredYear
Indicates the year in which one entity first came into contact with or met another entity.
-
E.
hasPartInYear
Indicates that something includes or contains a specific part, component, or segment that is associated with a particular year.
- F. None of above. chosen
Provenance (4 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.