Triple

T1546957
Position Surface form Disambiguated ID Type / Status
Subject East Frisia E32998 entity
Predicate contains P35 FINISHED
Object Juist E159875 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: Juist | Statement: [East Frisia, contains, Juist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juist
Context triple: [East Frisia, contains, Juist]
  • A. Juist chosen
    Juist is a small, car-free barrier island in the North Sea off the coast of Germany, known for its long sandy beaches, dunes, and tranquil spa tourism.
  • B. Gelykheid
    Gelykheid was a Dutch warship that was captured by the British Royal Navy during the 1797 Battle of Camperdown in the French Revolutionary Wars.
  • C. Troezen
    Troezen is an ancient Greek city in the northeastern Peloponnese, historically significant as a political and cultural center and as the legendary birthplace of the hero Theseus.
  • D. Vrijheid
    Vrijheid was a Dutch ship of the line that served as the flagship of the Dutch fleet during the late 18th century and was captured by the British at the Battle of Camperdown in 1797.
  • E. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.