Triple

T5051695
Position Surface form Disambiguated ID Type / Status
Subject Lennart Meri Tallinn Airport E113799 entity
Predicate operator P179 FINISHED
Object Tallinna Lennujaam AS E113799 NE FINISHED

How this triple was built (2 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: Tallinna Lennujaam AS | Statement: [Lennart Meri Tallinn Airport, operator, Tallinna Lennujaam AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallinna Lennujaam AS
Context triple: [Lennart Meri Tallinn Airport, operator, Tallinna Lennujaam AS]
  • A. Finavia
    Finavia is the Finnish state-owned company responsible for operating and maintaining Finland’s network of airports and air navigation services.
  • B. Lennart Meri Tallinn Airport chosen
    Lennart Meri Tallinn Airport is the main international airport serving Estonia’s capital, Tallinn, and the country’s largest air travel hub.
  • C. Tartu Airport
    Tartu Airport is a regional airport in Estonia serving the city of Tartu and the surrounding area with domestic and limited international flights.
  • D. Halla Airlines
    Halla Airlines is a Somali airline that operates passenger services centered on Mogadishu’s Aden Adde International Airport.
  • E. Finnair
    Finnair is the flag carrier and largest airline of Finland, operating an extensive network of domestic and international flights with a strong focus on routes between Europe and Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea483b6cc8190b3b48598a291d708 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.