Triple

T10412900
Position Surface form Disambiguated ID Type / Status
Subject Luftfahrt-Bundesamt E245436 entity
Predicate shortName P43 FINISHED
Object LBA
LBA is the German Federal Aviation Office responsible for civil aviation oversight, safety regulation, and certification in Germany.
E862132 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: LBA | Statement: [Luftfahrt-Bundesamt, shortName, LBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LBA
Context triple: [Luftfahrt-Bundesamt, shortName, LBA]
  • A. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • B. LBA
    LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
  • C. LAP
    LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • D. LBU
    LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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: LBA
Triple: [Luftfahrt-Bundesamt, shortName, LBA]
Generated description
LBA is the German Federal Aviation Office responsible for civil aviation oversight, safety regulation, and certification in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LBA
Target entity description: LBA is the German Federal Aviation Office responsible for civil aviation oversight, safety regulation, and certification in Germany.
  • A. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • B. LBA
    LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
  • C. LAP
    LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • D. LBU
    LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d6a0188190a7ee6de5aab50486 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:10 p.m.