Triple

T10191706
Position Surface form Disambiguated ID Type / Status
Subject Amrum E238050 entity
Predicate locatedNear P294 FINISHED
Object Sylt E231952 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: Sylt | Statement: [Amrum, locatedNear, Sylt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylt
Context triple: [Amrum, locatedNear, Sylt]
  • A. Sylt chosen
    Sylt is a popular German North Sea island known for its long sandy beaches, distinctive dune landscapes, and status as an upscale holiday destination.
  • B. Pellworm
    Pellworm is a low-lying, dike-protected island in the North Sea off the coast of northern Germany, known for its tranquil rural landscape, birdlife, and reliance on renewable energy.
  • C. Terschelling
    Terschelling is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination and part of the UNESCO-listed Wadden Sea region.
  • D. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • E. Föhr
    Föhr is a North Frisian island off the coast of Schleswig-Holstein in northern Germany, known for its mild climate, sandy beaches, and traditional Frisian culture.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d35512ab2c8190b2802c7bb22e7323 completed April 6, 2026, 6:39 a.m.
Created at: March 30, 2026, 9:13 p.m.