Triple

T20509834
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Klaipėda E503528 entity
Predicate hasLandmark P105 FINISHED
Object Dange River waterfront — NE NERFINISHED

How this triple was built (3 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: Dange River waterfront | Statement: [Old Town of Klaipėda, hasLandmark, Dange River waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dange River waterfront
Context triple: [Old Town of Klaipėda, hasLandmark, Dange River waterfront]
  • A. Musi River waterfront
    The Musi River waterfront is a prominent riverside area in Palembang, Indonesia, known for its historic landmarks, bustling river traffic, and role as a cultural and commercial hub along the Musi River.
  • B. White River waterfront
    The White River waterfront is a scenic riverside area in Whitehall, Michigan, featuring recreational access, natural views, and community gathering spaces along the White River.
  • C. Ain River waterfront
    The Ain River waterfront is a scenic riverside area along the Ain River near Pont d’Ain, known for its natural beauty, walking paths, and recreational spaces by the water.
  • D. Porsuk River waterfront
    Porsuk River waterfront is a popular scenic and recreational riverside area in Eskişehir, Turkey, known for its promenades, cafes, and gondola-style boat rides.
  • E. Orange River waterfront
    The Orange River waterfront is a scenic riverside area in Upington, South Africa, known for its tranquil views, recreational activities, and access to the Orange River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dange River waterfront
Target entity description: Dange River waterfront is a scenic riverside area in Klaipėda’s Old Town known for its promenades, historic harbor atmosphere, and cultural and recreational spaces along the Dange River.
  • A. Musi River waterfront
    The Musi River waterfront is a prominent riverside area in Palembang, Indonesia, known for its historic landmarks, bustling river traffic, and role as a cultural and commercial hub along the Musi River.
  • B. White River waterfront
    The White River waterfront is a scenic riverside area in Whitehall, Michigan, featuring recreational access, natural views, and community gathering spaces along the White River.
  • C. Ain River waterfront
    The Ain River waterfront is a scenic riverside area along the Ain River near Pont d’Ain, known for its natural beauty, walking paths, and recreational spaces by the water.
  • D. Porsuk River waterfront
    Porsuk River waterfront is a popular scenic and recreational riverside area in Eskişehir, Turkey, known for its promenades, cafes, and gondola-style boat rides.
  • E. Orange River waterfront
    The Orange River waterfront is a scenic riverside area in Upington, South Africa, known for its tranquil views, recreational activities, and access to the Orange River.
  • F. None of above. chosen

Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcab8248190992e6ada23e5f253 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.