Triple

T10908510
Position Surface form Disambiguated ID Type / Status
Subject Rheine E257631 entity
Predicate hasTwinTown P919 FINISHED
Object Trakai, Lithuania E286925 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: Trakai, Lithuania | Statement: [Rheine, hasTwinTown, Trakai, Lithuania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trakai, Lithuania
Context triple: [Rheine, hasTwinTown, Trakai, Lithuania]
  • A. Trakai chosen
    Trakai is a historic Lithuanian town famed for its medieval island castle and former status as a political center of the Grand Duchy of Lithuania.
  • B. Marijampolė
    Marijampolė is a city in southern Lithuania that serves as an important regional center for administration, culture, and industry.
  • C. Panemunė, Lithuania
    Panemunė is a town in southwestern Lithuania situated on the banks of the Neman River, directly across from Sovetsk, Russia, and known as a border crossing point between the two countries.
  • D. Mitau
    Mitau, historically known as the capital of the Duchy of Courland and Semigallia, is the former German name for the city now called Jelgava in present-day Latvia.
  • E. Jonava
    Jonava is a Lithuanian industrial town and regional center situated along the Neris River in central Lithuania.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.