Triple

T7316720
Position Surface form Disambiguated ID Type / Status
Subject Flensburg E168430 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object FL
FL is the vehicle registration code used on license plates for the German city of Flensburg.
E657143 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: FL | Statement: [Flensburg, vehicleRegistrationCode, FL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FL
Context triple: [Flensburg, vehicleRegistrationCode, FL]
  • A. FL
    FL is the international vehicle registration code for the Principality of Liechtenstein.
  • B. FL
    FL is the standard two-letter United States Postal Service abbreviation for the state of Florida.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • 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: FL
Triple: [Flensburg, vehicleRegistrationCode, FL]
Generated description
FL is the vehicle registration code used on license plates for the German city of Flensburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FL
Target entity description: FL is the vehicle registration code used on license plates for the German city of Flensburg.
  • A. FL
    FL is the standard two-letter United States Postal Service abbreviation for the state of Florida.
  • B. FL
    FL is the international vehicle registration code for the Principality of Liechtenstein.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef162d488190bf1c63b71b20a294 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eef3b1c48190ae65a136121b39cb completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef95787c819086684c4286166b43 completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0644ebc8190971075d75e3a76d0 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 3:02 p.m.