Triple

T12930360
Position Surface form Disambiguated ID Type / Status
Subject Hyvinkää E309359 entity
Predicate hasTwinTown P919 FINISHED
Object Húsavík E812602 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: Húsavík | Statement: [Hyvinkää, hasTwinTown, Húsavík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Húsavík
Context triple: [Hyvinkää, hasTwinTown, Húsavík]
  • A. Húsavík
    Húsavík is a small coastal village on the Faroe Islands’ island of Sandoy, known for its traditional Faroese landscape and fishing heritage.
  • B. Húsavík chosen
    Húsavík is a coastal town in northern Iceland renowned as one of the country’s premier whale-watching destinations.
  • 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. Reykjabók
    Reykjabók is a medieval Icelandic manuscript best known for preserving the text of the Laxdæla saga, one of the classic Icelandic family sagas.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.