Triple

T5156439
Position Surface form Disambiguated ID Type / Status
Subject University of Latvia E116321 entity
Predicate shortName P43 FINISHED
Object LU
LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
 E498789 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: LU | Statement: [University of Latvia, shortName, LU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LU
Context triple: [University of Latvia, shortName, LU]
  • A. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • B. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • C. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • 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: LU
Triple: [University of Latvia, shortName, LU]
Generated description
LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LU
Target entity description: LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • A. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • B. Lu
    Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
  • C. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • 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_69bd79019c6481909641f173c5b3769a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0123bc48190920f60fc29f64734 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed412290481908e3a63feac61c570 completed March 21, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69bed4ab86248190b5004585137db9c4 completed March 21, 2026, 5:26 p.m.
Created at: March 20, 2026, 1:44 p.m.