Triple

T12753094
Position Surface form Disambiguated ID Type / Status
Subject Balat E304783 entity
Predicate hasNearbyCity P350 FINISHED
Object Söke E997833 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: Söke | Statement: [Balat, hasNearbyCity, Söke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söke
Context triple: [Balat, hasNearbyCity, Söke]
  • A. Söke chosen
    Söke is a town and district in Turkey’s Aydın Province, located in the fertile Büyük Menderes River plain near the ancient Ionian city of Miletus.
  • B. Den Briel
    Den Briel (Brielle) is a historic Dutch town and seaport in South Holland, known for its role in the Eighty Years' War and as the birthplace of admiral Maarten Tromp.
  • C. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • D. Koksijde
    Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
  • E. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.