Triple

T6273109
Position Surface form Disambiguated ID Type / Status
Subject Vágar Airport E140585 entity
Predicate has scheduled flights to P19814 FINISHED
Object Reykjavík E28255 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: Reykjavík | Statement: [Vágar Airport, has scheduled flights to, Reykjavík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reykjavík
Context triple: [Vágar Airport, has scheduled flights to, Reykjavík]
  • A. Reykjavík, Iceland chosen
    Reykjavík, Iceland is the capital and largest city of Iceland, known for its vibrant cultural scene, geothermal pools, and role as the country’s political and economic center.
  • B. Reykjabók
    Reykjabók is a medieval Icelandic manuscript best known for preserving the text of the Laxdæla saga, one of the classic Icelandic family sagas.
  • C. Hafnarfjörður
    Hafnarfjörður is a port town in southwestern Iceland known for its lava-field setting, fishing industry, and role as part of the Reykjavík metropolitan area.
  • D. Æðuvík
    Æðuvík is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its scenic seaside setting and traditional Faroese character.
  • E. Tvøroyri
    Tvøroyri is a town on the island of Suðuroy in the Faroe Islands, known as an important local fishing and administrative center.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063be5a148190a8752426d2d220f8 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63859155881908767074ea315198c completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:25 p.m.