Triple

T13654319
Position Surface form Disambiguated ID Type / Status
Subject Liberal Youth of Sweden E326817 entity
Predicate shortName P43 FINISHED
Object LUF
LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
 E1052856 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: [Liberal Youth of Sweden, shortName, LUF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUF
Context triple: [Liberal Youth of Sweden, shortName, LUF]
  • A. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • B. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • 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. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • E. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • 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: [Liberal Youth of Sweden, shortName, LUF]
Generated description
LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUF
Target entity description: LUF is the youth wing of the Swedish Liberal Party, engaging young people in liberal politics and advocacy in Sweden.
  • A. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • B. 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.
  • C. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • D. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • E. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60ace048190a4b92310ba272bd1 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b03083c8190855a2a4ee44e4098 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78c0030e481909c20f21ddaa480dc completed May 3, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69f78d6d74bc8190ad5476a06e8fd8ad completed May 3, 2026, 6:01 p.m.
Created at: April 9, 2026, 9:52 p.m.