Triple
T17376736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2. Liga |
E422456
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | DFL |
—
|
NE NERFINISHED |
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: DFL | Statement: [2. Liga, governingBody, DFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFL Context triple: [2. Liga, governingBody, DFL]
-
A.
DFL
chosen
DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
-
B.
DFL
DFL is the station code used to identify Flöha railway station in Germany’s rail network.
-
C.
DFLZM
DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
-
D.
IFL
IFL is the ICAO airline designator formerly used by Interflug, the former national airline of East Germany.
-
E.
UFL
UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ddbd081908908b953597977d2 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.