Triple

T7923645
Position Surface form Disambiguated ID Type / Status
Subject Anholt E184005 entity
Predicate hasSettlement P1068 FINISHED
Object Anholt By E184005 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: Anholt By | Statement: [Anholt, hasSettlement, Anholt By]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anholt By
Context triple: [Anholt, hasSettlement, Anholt By]
  • A. Anholt chosen
    Anholt is a small Danish island in the Kattegat Sea known for its extensive desert-like heathland and remote, sparsely populated landscape.
  • B. Ahlmark
    Ahlmark is a Swedish surname most notably associated with Per Ahlmark, a prominent Swedish politician, writer, and former Deputy Prime Minister.
  • C. Kalsoy
    Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Toft
    Toft is a rural estate and small settlement in Cheshire, England, known for its historic hall and proximity to the town of Knutsford.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aac02bc8190b13fc354a4fa91d3 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:06 p.m.