Triple

T9275035
Position Surface form Disambiguated ID Type / Status
Subject Tartu Airport E222923 entity
Predicate alternativeName P39 FINISHED
Object Tartu lennujaam E222923 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: Tartu lennujaam | Statement: [Tartu Airport, alternativeName, Tartu lennujaam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tartu lennujaam
Context triple: [Tartu Airport, alternativeName, Tartu lennujaam]
  • A. Tartu Airport chosen
    Tartu Airport is a regional airport in Estonia serving the city of Tartu and the surrounding area with domestic and limited international flights.
  • B. Tartu railway station
    Tartu railway station is the main rail transport hub serving the city of Tartu in Estonia, connecting it to other major destinations in the country.
  • C. Tartu
    Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
  • D. Lennart Meri Tallinn Airport
    Lennart Meri Tallinn Airport is the main international airport serving Estonia’s capital, Tallinn, and the country’s largest air travel hub.
  • 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_69d0b1f57db881908a42ad5b042d0872 completed April 4, 2026, 6:38 a.m.
Created at: March 30, 2026, 7:34 p.m.