Triple

T2544615
Position Surface form Disambiguated ID Type / Status
Subject Marktl am Inn E57868 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object AÖ
AÖ is the vehicle registration code used on license plates for the district of Altötting in Bavaria, Germany.
 E277851 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: AÖ | Statement: [Marktl am Inn, hasVehicleRegistrationCode, AÖ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AÖ
Context triple: [Marktl am Inn, hasVehicleRegistrationCode, AÖ]
  • A. Aisch
    The Aisch is a river in the German state of Bavaria that flows through the region of Middle Franconia and is known for its scenic valleys and traditional carp-farming areas.
  • B. Alte
    Alte is a traditional village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and preserved rural character.
  • C. Aslian
    Aslian is a branch of indigenous languages spoken primarily by the Orang Asli peoples of Peninsular Malaysia and parts of southern Thailand.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • 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: AÖ
Triple: [Marktl am Inn, hasVehicleRegistrationCode, AÖ]
Generated description
AÖ is the vehicle registration code used on license plates for the district of Altötting in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AÖ
Target entity description: AÖ is the vehicle registration code used on license plates for the district of Altötting in Bavaria, Germany.
  • A. Aisch
    The Aisch is a river in the German state of Bavaria that flows through the region of Middle Franconia and is known for its scenic valleys and traditional carp-farming areas.
  • B. Alte
    Alte is a traditional village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and preserved rural character.
  • C. Aslian
    Aslian is a branch of indigenous languages spoken primarily by the Orang Asli peoples of Peninsular Malaysia and parts of southern Thailand.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0a884c81909d7f537a79ccb435 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dfad3d88190937d482098af0143 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e6449e4819084313a5b44d46044 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.