Triple
T6483975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Altdorf |
E146462
|
entity |
| Predicate | universityStatusGrantedYear |
P29611
|
FINISHED |
| Object | 1622 |
—
|
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: 1622 | Statement: [University of Altdorf, universityStatusGrantedYear, 1622]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityStatusGrantedYear Context triple: [University of Altdorf, universityStatusGrantedYear, 1622]
-
A.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
B.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
-
C.
fullCollegeStatusYear
chosen
Indicates the year in which an entity attained or was recognized with full college status.
-
D.
UNAdmissionDate
Indicates the date on which an entity was officially admitted as a member of the United Nations.
-
E.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.