Triple
T556170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Leipzig |
E11945
|
entity |
| Predicate | renamedAsKarlMarxUniversity |
P16336
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [University of Leipzig, renamedAsKarlMarxUniversity, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedAsKarlMarxUniversity Context triple: [University of Leipzig, renamedAsKarlMarxUniversity, 1953]
-
A.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
B.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
C.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
D.
successorInstitution
Indicates that one institution continues, replaces, or takes over the role and functions of another institution in a successor relationship.
-
E.
establishedAsSocialistState
Indicates that an entity formally created or declared another entity to be a socialist state as its system of governance.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.