Triple
T6367318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertina |
E143258
|
entity |
| Predicate | closedAsUniversity |
P61578
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Albertina, closedAsUniversity, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsUniversity Context triple: [Albertina, closedAsUniversity, 1945]
-
A.
universityClosedIn
chosen
Indicates that a university ceased operations or was officially closed in a specified year or time period.
-
B.
closedAsIndependentInstitution
Indicates that an institution has ceased operations as an independent entity, typically due to closure, merger, or absorption into another organization.
-
C.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
D.
closedUnder
Indicates that applying a specified operation to elements within a set always produces a result that is also an element of that same set.
-
E.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.