Triple

T10442120
Position Surface form Disambiguated ID Type / Status
Subject Hof district E246193 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MÜB
MÜB is a German vehicle registration code used for cars registered in the Hof district of Bavaria.
 E863174 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: MÜB | Statement: [Hof district, vehicleRegistrationCode, MÜB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MÜB
Context triple: [Hof district, vehicleRegistrationCode, MÜB]
  • A. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • B. MOSB
    MOSB is an abbreviation for the Military Order of the Stars and Bars, a heritage organization composed primarily of descendants of Confederate officers and officials.
  • C. MUG
    MUG is the commonly used abbreviation for the Medical University of Gdańsk, a major medical education and research institution in Poland.
  • D. 7 MU
    7 MU is the standard abbreviation for No. 7 Maintenance Unit of the Royal Air Force, a unit responsible for the storage, maintenance, and repair of RAF equipment and aircraft.
  • E. MUGI
    MUGI is a stream cipher designed by cryptographer Joan Daemen, known for its role in modern symmetric-key cryptography research.
  • 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: MÜB
Triple: [Hof district, vehicleRegistrationCode, MÜB]
Generated description
MÜB is a German vehicle registration code used for cars registered in the Hof district of Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MÜB
Target entity description: MÜB is a German vehicle registration code used for cars registered in the Hof district of Bavaria.
  • A. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • B. MOSB
    MOSB is an abbreviation for the Military Order of the Stars and Bars, a heritage organization composed primarily of descendants of Confederate officers and officials.
  • C. MUG
    MUG is the commonly used abbreviation for the Medical University of Gdańsk, a major medical education and research institution in Poland.
  • D. 7 MU
    7 MU is the standard abbreviation for No. 7 Maintenance Unit of the Royal Air Force, a unit responsible for the storage, maintenance, and repair of RAF equipment and aircraft.
  • E. MUGI
    MUGI is a stream cipher designed by cryptographer Joan Daemen, known for its role in modern symmetric-key cryptography research.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d8837f98e08190bbffa535f94daf48 completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889d0e70c8190953d164f34f01e47 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:15 p.m.