Triple
T19985509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Care of Magical Creatures |
E493920
|
entity |
| Predicate | electiveFromYear |
P52828
|
FINISHED |
| Object | third year |
—
|
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: third year | Statement: [Care of Magical Creatures, electiveFromYear, third year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electiveFromYear Context triple: [Care of Magical Creatures, electiveFromYear, third year]
-
A.
electiveBody
Indicates that one entity is an official group or assembly whose members are chosen through an election process by another entity.
-
B.
isHighSchoolElective
Indicates that a course or subject is offered as an optional, non-required class within a high school curriculum.
-
C.
selectionYear
Indicates the year in which an entity was chosen or selected for a particular role, status, or inclusion.
-
D.
schoolYear
chosen
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
E.
lectureYears
Indicates the years during which a lecture or course is (or was) delivered.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d162b008190a18d325796d75d77 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:29 p.m.