Triple

T8770030
Position Surface form Disambiguated ID Type / Status
Subject University of Turku E208432 entity
Predicate hasAbbreviation P43 FINISHED
Object UTU
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
 E757820 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: UTU | Statement: [University of Turku, hasAbbreviation, UTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UTU
Context triple: [University of Turku, hasAbbreviation, UTU]
  • A. Ututo
    Ututo is an Argentine GNU/Linux distribution notable for being one of the first fully free systems endorsed by the Free Software Foundation.
  • B. Utu
    Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
  • C. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • 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: UTU
Triple: [University of Turku, hasAbbreviation, UTU]
Generated description
UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UTU
Target entity description: UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • A. Ututo
    Ututo is an Argentine GNU/Linux distribution notable for being one of the first fully free systems endorsed by the Free Software Foundation.
  • B. Utu
    Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
  • C. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eedc7188190a67d959b9af53837 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf55016d108190b6de72787962564f completed April 3, 2026, 5:49 a.m.
NED2 Entity disambiguation (via description) batch_69cf55940918819088ed8a6ea2f8f460 completed April 3, 2026, 5:52 a.m.
Created at: March 30, 2026, 6:41 p.m.