Triple

T9274581
Position Surface form Disambiguated ID Type / Status
Subject Tartu County E222912 entity
Predicate hasMajorTransportHub P51097 FINISHED
Object Tartu Airport 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 Airport | Statement: [Tartu County, hasMajorTransportHub, Tartu Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tartu Airport
Context triple: [Tartu County, hasMajorTransportHub, Tartu Airport]
  • 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. Pärnu Airport
    Pärnu Airport is a regional airport in southwestern Estonia that serves the city of Pärnu with domestic and limited international flights.
  • C. Kuressaare Airport
    Kuressaare Airport is a regional airport on Saaremaa Island in Estonia that provides domestic and limited international air connections for the town of Kuressaare and its surroundings.
  • D. Viedma Airport
    Viedma Airport is a regional public airport serving the city of Viedma and surrounding areas in Argentina’s Río Negro Province.
  • E. 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.
  • 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, 7:33 p.m.