Triple

T4671565
Position Surface form Disambiguated ID Type / Status
Subject Titisee-Neustadt E102973 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object FR
FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
E462433 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: FR | Statement: [Titisee-Neustadt, vehicleRegistrationCode, FR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FR
Context triple: [Titisee-Neustadt, vehicleRegistrationCode, FR]
  • A. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • B. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • C. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. CH-FR
    CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
  • E. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • 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: FR
Triple: [Titisee-Neustadt, vehicleRegistrationCode, FR]
Generated description
FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FR
Target entity description: FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
  • A. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • B. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • C. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. CH-FR
    CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
  • E. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63506090819083ff8271adc5ef75 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039538048190b4075daf47355cee completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be055390c08190a85f92aec34b390a completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05d277248190bf675151eca07247 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.