Triple

T1429044
Position Surface form Disambiguated ID Type / Status
Subject Jethou E30400 entity
Predicate hasNearbyIsland P970 FINISHED
Object Brecqhou E31313 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: Brecqhou | Statement: [Jethou, hasNearbyIsland, Brecqhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brecqhou
Context triple: [Jethou, hasNearbyIsland, Brecqhou]
  • A. Brecqhou chosen
    Brecqhou is a small, privately owned island off the coast of Sark in the English Channel, known for its exclusive residence and limited public access.
  • B. Veendam
    Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
  • C. Norderney
    Norderney is a popular German North Sea island known for its sandy beaches, seaside resort town, and role as a major tourist destination in Lower Saxony.
  • D. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • E. Spiekeroog
    Spiekeroog is a car-free German North Sea island known for its tranquil beaches, dunes, and traditional Frisian village atmosphere.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4d9575881908bb58598e5a80590 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad159c0a6881909a1c4e213209dc84 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8 p.m.