Triple
T556179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Leipzig |
E11945
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | DFG |
E43147
|
NE 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: DFG | Statement: [University of Leipzig, affiliation, DFG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFG Context triple: [University of Leipzig, affiliation, DFG]
-
A.
DFG
chosen
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
B.
DFE
DFE is the National Rail station code for Dunfermline Town railway station in Fife, Scotland.
-
C.
FSG
FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
-
D.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e644f41c819099743a6c4f2815e4 |
completed | March 2, 2026, 1:22 a.m. |
Created at: March 1, 2026, 7:32 p.m.