Triple

T15763198
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk State Technical University E382149 entity
Predicate shortName P43 FINISHED
Object NSTU
NSTU is the commonly used abbreviation for Novosibirsk State Technical University, a major technical higher education institution in Novosibirsk, Russia.
 E1176056 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: NSTU | Statement: [Novosibirsk State Technical University, shortName, NSTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NSTU
Context triple: [Novosibirsk State Technical University, shortName, NSTU]
  • A. NSTU
    NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
  • B. NSU
    NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
  • C. NSU
    NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
  • D. NMU
    NMU is Northern Michigan University, a public university in Marquette, Michigan, whose athletic teams are known as the Wildcats.
  • E. NMU
    NMU is the common abbreviation for New Mexico United, a professional soccer club based in Albuquerque that competes in the USL Championship.
  • 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: NSTU
Triple: [Novosibirsk State Technical University, shortName, NSTU]
Generated description
NSTU is the commonly used abbreviation for Novosibirsk State Technical University, a major technical higher education institution in Novosibirsk, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NSTU
Target entity description: NSTU is the commonly used abbreviation for Novosibirsk State Technical University, a major technical higher education institution in Novosibirsk, Russia.
  • A. NSTU
    NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
  • B. NSU
    NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
  • C. NSU
    NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
  • D. NMU
    NMU is Northern Michigan University, a public university in Marquette, Michigan, whose athletic teams are known as the Wildcats.
  • E. NMU
    NMU is the common abbreviation for New Mexico United, a professional soccer club based in Albuquerque that competes in the USL Championship.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.