Triple
T3381827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Berlin |
E71201
|
entity |
| Predicate | acquiredCompany |
P16131
|
FINISHED |
| Object |
dba (Deutsche BA)
dba (Deutsche BA) was a German regional airline that operated domestic and European flights before being integrated into Air Berlin.
|
E352711
|
NE FINISHED |
How this triple was built (4 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: dba (Deutsche BA) | Statement: [Air Berlin, acquiredCompany, dba (Deutsche BA)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dba (Deutsche BA) Context triple: [Air Berlin, acquiredCompany, dba (Deutsche BA)]
-
A.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
B.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
-
C.
BDA
BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
-
D.
DE-BW
DE-BW is the ISO 3166-2 code for the German federal state of Baden-Württemberg.
-
E.
DAB
DAB is a senior-level U.S. Department of Defense committee that reviews and approves major defense acquisition programs and policies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: dba (Deutsche BA) Triple: [Air Berlin, acquiredCompany, dba (Deutsche BA)]
Generated description
dba (Deutsche BA) was a German regional airline that operated domestic and European flights before being integrated into Air Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: dba (Deutsche BA) Target entity description: dba (Deutsche BA) was a German regional airline that operated domestic and European flights before being integrated into Air Berlin.
-
A.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
B.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
-
C.
BDA
BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
-
D.
DE-BW
DE-BW is the ISO 3166-2 code for the German federal state of Baden-Württemberg.
-
E.
DAB
DAB is a senior-level U.S. Department of Defense committee that reviews and approves major defense acquisition programs and policies.
- F. None of above. chosen
Provenance (5 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33452d79081909bf6955289e0dece |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:14 p.m.