Triple

T5180886
Position Surface form Disambiguated ID Type / Status
Subject Slovak University of Technology in Bratislava E116916 entity
Predicate shortName P43 FINISHED
Object STU
STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
 E499721 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: STU | Statement: [Slovak University of Technology in Bratislava, shortName, STU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STU
Context triple: [Slovak University of Technology in Bratislava, shortName, STU]
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. Stuvsta
    Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
  • 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: STU
Triple: [Slovak University of Technology in Bratislava, shortName, STU]
Generated description
STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STU
Target entity description: STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. Stuvsta
    Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
NEDg Description generation batch_69beda0419108190862d028a14227e8a completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69bedaa232ac81908c5ee2d4ba8cbcd7 completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:45 p.m.