Triple

T9196921
Position Surface form Disambiguated ID Type / Status
Subject Ostallgäu E220737 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object FÜS
FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of Bavaria, Germany.
 E784054 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: FÜS | Statement: [Ostallgäu, hasVehicleRegistrationCode, FÜS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FÜS
Context triple: [Ostallgäu, hasVehicleRegistrationCode, FÜS]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • C. Fudam
    Fudam is a coastal village in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu, known for its fishing community and proximity to Diu town.
  • D. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • E. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • 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: FÜS
Triple: [Ostallgäu, hasVehicleRegistrationCode, FÜS]
Generated description
FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FÜS
Target entity description: FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of Bavaria, Germany.
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • C. Fudam
    Fudam is a coastal village in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu, known for its fishing community and proximity to Diu town.
  • D. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • E. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cfb7058819080d80b7f28125199 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05d91ad4c8190a45db7484b9f058a completed April 4, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:25 p.m.