Triple
T35523001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blavatnik School of Government |
E1026594
|
entity |
| Predicate | academicYearStart |
P111033
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Blavatnik School of Government, academicYearStart, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicYearStart Context triple: [Blavatnik School of Government, academicYearStart, October]
-
A.
typicalAcademicYearStart
chosen
Indicates the usual calendar date or period when an academic year customarily begins for an institution or system.
-
B.
schoolYearStart
Indicates the point in time or date when a particular school year begins.
-
C.
academicYearType
Indicates the classification of an academic year according to its structural or administrative type (e.g., semester-based, quarter-based, fiscal year, etc.).
-
D.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
E.
timeWithinAcademicYear
Indicates that a specified time or date falls within the bounds of a defined academic year period.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.