Triple

T19934512
Position Surface form Disambiguated ID Type / Status
Subject Kyiv-Mohyla Academy E479139 entity
Predicate shortName P43 FINISHED
Object NaUKMA
NaUKMA is a leading Ukrainian university in Kyiv known for its strong liberal arts education, historic roots in the Kyiv-Mohyla Academy, and emphasis on academic freedom and civic engagement.
 E1402433 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: NaUKMA | Statement: [Kyiv-Mohyla Academy, shortName, NaUKMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NaUKMA
Context triple: [Kyiv-Mohyla Academy, shortName, NaUKMA]
  • A. NKM
    NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
  • B. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • C. NKUA
    NKUA is a major public research university in Athens, Greece, and one of the oldest higher education institutions in the modern Greek state.
  • D. Nakum
    Nakum is an ancient Maya archaeological site in northeastern Guatemala, noted for its well-preserved temples and plazas within the Yaxhá-Nakum-Naranjo National Park.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • 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: NaUKMA
Triple: [Kyiv-Mohyla Academy, shortName, NaUKMA]
Generated description
NaUKMA is a leading Ukrainian university in Kyiv known for its strong liberal arts education, historic roots in the Kyiv-Mohyla Academy, and emphasis on academic freedom and civic engagement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NaUKMA
Target entity description: NaUKMA is a leading Ukrainian university in Kyiv known for its strong liberal arts education, historic roots in the Kyiv-Mohyla Academy, and emphasis on academic freedom and civic engagement.
  • A. NKM
    NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
  • B. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • C. NKUA
    NKUA is a major public research university in Athens, Greece, and one of the oldest higher education institutions in the modern Greek state.
  • D. Nakum
    Nakum is an ancient Maya archaeological site in northeastern Guatemala, noted for its well-preserved temples and plazas within the Yaxhá-Nakum-Naranjo National Park.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6e830c88190be3af821423d89ee completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f7ff6c4481909780fb2ff2c3f1ca completed May 16, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a07f8b11d6c8190ad4c7c7711ff2872 completed May 16, 2026, 4:55 a.m.
Created at: April 10, 2026, 1:53 p.m.