Triple

T9275018
Position Surface form Disambiguated ID Type / Status
Subject Tartu Airport E222923 entity
Predicate operator P179 FINISHED
Object Tallinn Airport Ltd 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: Tallinn Airport Ltd | Statement: [Tartu Airport, operator, Tallinn Airport Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallinn Airport Ltd
Context triple: [Tartu Airport, operator, Tallinn Airport Ltd]
  • 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. Tallinna Sadam AS
    Tallinna Sadam AS is an Estonian state-owned port and logistics company that manages and develops the Port of Tallinn and related maritime infrastructure.
  • E. Pärnu Airport
    Pärnu Airport is a regional airport in southwestern Estonia that serves the city of Pärnu with domestic and limited international flights.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
Created at: March 30, 2026, 7:34 p.m.