Triple
T6075183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany women's national football team |
E135382
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | DFB |
E57011
|
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: DFB | Statement: [Germany women's national football team, governingBody, DFB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFB Context triple: [Germany women's national football team, governingBody, DFB]
-
A.
DFL
DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
-
B.
SFB
SFB is the commonly used abbreviation for the San Francisco Ballet, one of the oldest and most prestigious professional ballet companies in the United States.
-
C.
SFB
SFB is the FAA airport code for Orlando Sanford International Airport, a commercial airport serving the Orlando, Florida metropolitan area.
-
D.
German Football Association
chosen
The German Football Association is the national governing body responsible for overseeing football in Germany, including organizing leagues, competitions, and the national teams.
-
E.
BVB
BVB is the public transport company that operates much of the tram and bus network in Basel, Switzerland.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d43f7908190845c2337cd243a3c |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.