Triple
T11889071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDGB |
E282867
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FDGB |
E282867
|
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: FDGB | Statement: [FDGB, shortName, FDGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDGB Context triple: [FDGB, shortName, FDGB]
-
A.
FDGB
chosen
FDGB was the state-controlled trade union federation in East Germany that organized and represented workers under the socialist system.
-
B.
FGB
FGB, better known as Zarya, is the first module of the International Space Station, providing initial power and propulsion functions.
-
C.
FDGB-Pokal
The FDGB-Pokal was the primary national football cup competition in East Germany, organized by the Free German Trade Union Federation until German reunification.
-
D.
DFGP
DFGP is the German abbreviation for Switzerland’s Federal Department of Justice and Police, the federal authority responsible for justice, security, and migration matters.
-
E.
FDB
FDB is the ICAO airline designator used for flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.