Triple

T10013960
Position Surface form Disambiguated ID Type / Status
Subject North Frisian Islands E199440 entity
Predicate hasIsland P970 FINISHED
Object Gröde
Gröde is a tiny, sparsely populated Hallig island in the North Frisian archipelago off the coast of Germany, known for its unique tidal landscape and traditional way of life.
 E836209 NE FINISHED

How this triple was built (4 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: Gröde | Statement: [North Frisian Islands, hasIsland, Gröde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gröde
Context triple: [North Frisian Islands, hasIsland, Gröde]
  • A. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • B. Wimbachgries
    Wimbachgries is a broad high-alpine gravel valley and hiking area in the Bavarian Alps, known for its impressive scree fields and dramatic mountain scenery.
  • C. Kräsuli
    Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
  • D. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • E. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gröde
Triple: [North Frisian Islands, hasIsland, Gröde]
Generated description
Gröde is a tiny, sparsely populated Hallig island in the North Frisian archipelago off the coast of Germany, known for its unique tidal landscape and traditional way of life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gröde
Target entity description: Gröde is a tiny, sparsely populated Hallig island in the North Frisian archipelago off the coast of Germany, known for its unique tidal landscape and traditional way of life.
  • A. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • B. Wimbachgries
    Wimbachgries is a broad high-alpine gravel valley and hiking area in the Bavarian Alps, known for its impressive scree fields and dramatic mountain scenery.
  • C. Kräsuli
    Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
  • D. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • E. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • F. None of above. chosen

Provenance (5 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3e35508190920468be167cb708 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.