Triple

T5151375
Position Surface form Disambiguated ID Type / Status
Subject Lappeenranta–Lahti University of Technology LUT E116201 entity
Predicate abbreviation P43 FINISHED
Object LUT
LUT is a Finnish science and technology university known for its research and education in engineering, business, and sustainability.
 E496995 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: LUT | Statement: [Lappeenranta–Lahti University of Technology LUT, abbreviation, LUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUT
Context triple: [Lappeenranta–Lahti University of Technology LUT, abbreviation, LUT]
  • A. LCT
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • B. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • C. Lut
    Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
  • D. SLT
    SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
  • E. LCTES
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • 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: LUT
Triple: [Lappeenranta–Lahti University of Technology LUT, abbreviation, LUT]
Generated description
LUT is a Finnish science and technology university known for its research and education in engineering, business, and sustainability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUT
Target entity description: LUT is a Finnish science and technology university known for its research and education in engineering, business, and sustainability.
  • A. LCT
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • B. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • C. Lut
    Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
  • D. SLT
    SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
  • E. LCTES
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed07d478c8190aac215cb05bedae0 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed0d56af481908a3fb0693f151fb3 completed March 21, 2026, 5:09 p.m.
Created at: March 20, 2026, 1:44 p.m.