Triple

T4241112
Position Surface form Disambiguated ID Type / Status
Subject Kryvyi Rih State Pedagogical University E95411 entity
Predicate hasAbbreviation P43 FINISHED
Object KSPU
KSPU is a Ukrainian higher education institution specializing in teacher training and pedagogical studies, located in Kryvyi Rih.
E424633 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: KSPU | Statement: [Kryvyi Rih State Pedagogical University, hasAbbreviation, KSPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSPU
Context triple: [Kryvyi Rih State Pedagogical University, hasAbbreviation, KSPU]
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KISTI
    KISTI (Korea Institute of Science and Technology Information) is a South Korean government-funded research institute that provides national-level science and technology information services, supercomputing resources, and research support infrastructure.
  • E. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • 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: KSPU
Triple: [Kryvyi Rih State Pedagogical University, hasAbbreviation, KSPU]
Generated description
KSPU is a Ukrainian higher education institution specializing in teacher training and pedagogical studies, located in Kryvyi Rih.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSPU
Target entity description: KSPU is a Ukrainian higher education institution specializing in teacher training and pedagogical studies, located in Kryvyi Rih.
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KISTI
    KISTI (Korea Institute of Science and Technology Information) is a South Korean government-funded research institute that provides national-level science and technology information services, supercomputing resources, and research support infrastructure.
  • E. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e87c9d88190a093b1289df5b974 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86fe7708190a64ba187fb302c9a completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:05 p.m.