Triple
T15597278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Basketball Federation |
E374934
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DBB |
E1157188
|
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: DBB | Statement: [German Basketball Federation, shortName, DBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DBB Context triple: [German Basketball Federation, shortName, DBB]
-
A.
DBB
chosen
DBB is the German Basketball Federation, the national governing body responsible for organizing and overseeing basketball activities and competitions in Germany.
-
B.
DBBB
DBBB is the ICAO airport code for Cadjehoun Airport, the main international airport serving Cotonou, Benin.
-
C.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
D.
DB1
DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
-
E.
DABB
DABB is the ICAO airport code for Rabah Bitat Airport, an international airport serving Annaba in northeastern Algeria.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.