Triple

T15932348
Position Surface form Disambiguated ID Type / Status
Subject Luxembourgish franc E386352 entity
Predicate ISO4217Code P189 FINISHED
Object LUF
LUF was the currency code for the Luxembourgish franc, the former national currency of Luxembourg before adoption of the euro.
 E1185060 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: LUF | Statement: [Luxembourgish franc, ISO4217Code, LUF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUF
Context triple: [Luxembourgish franc, ISO4217Code, LUF]
  • A. LUF
    LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
  • B. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • C. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • D. 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.
  • E. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • 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: LUF
Triple: [Luxembourgish franc, ISO4217Code, LUF]
Generated description
LUF was the currency code for the Luxembourgish franc, the former national currency of Luxembourg before adoption of the euro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUF
Target entity description: LUF was the currency code for the Luxembourgish franc, the former national currency of Luxembourg before adoption of the euro.
  • A. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • B. LUF
    LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
  • 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. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • E. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a6d9b88190b461d12d69b12ac0 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b2a8888190824f2252b65920f2 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:52 a.m.