Triple

T15662253
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Civil Aviation E376594 entity
Predicate shortName P43 FINISHED
Object BAZL E883220 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: BAZL | Statement: [Federal Office of Civil Aviation, shortName, BAZL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAZL
Context triple: [Federal Office of Civil Aviation, shortName, BAZL]
  • A. BAZL chosen
    BAZL is the German abbreviation for Switzerland’s Federal Office of Civil Aviation, the national authority responsible for regulating and overseeing civil aviation in the country.
  • B. BANZSL
    BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
  • C. BLS AG
    BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
  • D. Swissbau
    Swissbau is a major Swiss trade fair and exhibition platform focused on the construction, real estate, and architecture sectors.
  • E. BNA
    BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.