Triple

T13344188
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, University of Freiburg E317905 entity
Predicate abbreviation P43 FINISHED
Object TF
TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
E1035619 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: TF | Statement: [Faculty of Engineering, University of Freiburg, abbreviation, TF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TF
Context triple: [Faculty of Engineering, University of Freiburg, abbreviation, TF]
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • D. TFN
    TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
  • E. TFB
    TFB is the acronym commonly used to refer to the Task Force Bureau, an organized body typically responsible for coordinating specialized operations or initiatives.
  • 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: TF
Triple: [Faculty of Engineering, University of Freiburg, abbreviation, TF]
Generated description
TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TF
Target entity description: TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • D. TFN
    TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
  • E. TFB
    TFB is the acronym commonly used to refer to the Task Force Bureau, an organized body typically responsible for coordinating specialized operations or initiatives.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.