Triple

T14330950
Position Surface form Disambiguated ID Type / Status
Subject National Antarctic Scientific Center of Ukraine E355343 entity
Predicate abbreviation P43 FINISHED
Object NANC
NANC is the Ukrainian government’s National Antarctic Scientific Center, responsible for managing the country’s polar research and operations, including the Vernadsky Research Base.
 E1093872 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: NANC | Statement: [National Antarctic Scientific Center of Ukraine, abbreviation, NANC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NANC
Context triple: [National Antarctic Scientific Center of Ukraine, abbreviation, NANC]
  • A. NAN
    NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
  • B. NaNIC
    NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
  • C. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • D. nan
    nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
  • E. nc
    nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
  • 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: NANC
Triple: [National Antarctic Scientific Center of Ukraine, abbreviation, NANC]
Generated description
NANC is the Ukrainian government’s National Antarctic Scientific Center, responsible for managing the country’s polar research and operations, including the Vernadsky Research Base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NANC
Target entity description: NANC is the Ukrainian government’s National Antarctic Scientific Center, responsible for managing the country’s polar research and operations, including the Vernadsky Research Base.
  • A. NAN
    NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
  • B. NaNIC
    NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
  • C. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • D. nan
    nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
  • E. nc
    nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4811e2808190b559d8348079ae8f completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd48d827488190b4a494d4da64ba51 completed May 8, 2026, 2:22 a.m.
Created at: April 10, 2026, 1:13 a.m.