Triple

T5484564
Position Surface form Disambiguated ID Type / Status
Subject northern gannet E123547 entity
Predicate breedsIn P19710 FINISHED
Object Faroe Islands E26453 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: Faroe Islands | Statement: [northern gannet, breedsIn, Faroe Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faroe Islands
Context triple: [northern gannet, breedsIn, Faroe Islands]
  • A. Faroe Islands chosen
    The Faroe Islands are a self-governing North Atlantic archipelago under the sovereignty of the Kingdom of Denmark, known for their rugged landscapes, fishing-based economy, and distinct Faroese culture and language.
  • B. Åland Islands
    The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
  • C. Iceland
    Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
  • D. Eysturoy
    Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
  • E. Suðuroy
    Suðuroy is the southernmost of the Faroe Islands, known for its dramatic coastal cliffs, small fishing villages, and relatively remote, rugged landscape.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9260d90c819087f34ab24662575d completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a773f48190b9928a96ae2c17f8 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:10 p.m.