Triple

T10060993
Position Surface form Disambiguated ID Type / Status
Subject Tolmachevo Airport E212986 entity
Predicate operator P179 FINISHED
Object Novaport
Novaport is a Russian airport management company that operates and develops a network of regional airports across the country.
 E838834 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: Novaport | Statement: [Tolmachevo Airport, operator, Novaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novaport
Context triple: [Tolmachevo Airport, operator, Novaport]
  • A. Novaggio
    Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
  • B. Insitu
    Insitu is an American company specializing in the design and manufacture of unmanned aerial systems, particularly for military and commercial surveillance and reconnaissance applications.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • E. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • 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: Novaport
Triple: [Tolmachevo Airport, operator, Novaport]
Generated description
Novaport is a Russian airport management company that operates and develops a network of regional airports across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novaport
Target entity description: Novaport is a Russian airport management company that operates and develops a network of regional airports across the country.
  • A. Novaggio
    Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
  • B. Insitu
    Insitu is an American company specializing in the design and manufacture of unmanned aerial systems, particularly for military and commercial surveillance and reconnaissance applications.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • E. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a6779348190ab8db058fb6e5ce1 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29c76b84081909e23944c792aecbd completed April 5, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69d29ce64bf0819089e8ab126e33180e completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:57 p.m.