Triple

T15864803
Position Surface form Disambiguated ID Type / Status
Subject Gatow E384682 entity
Predicate hasRecreationalArea P5383 FINISHED
Object Havel waterfront E137771 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: Havel waterfront | Statement: [Gatow, hasRecreationalArea, Havel waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel waterfront
Context triple: [Gatow, hasRecreationalArea, Havel waterfront]
  • A. Havel riverfront
    Havel riverfront is a scenic riverside area in Oranienburg known for its promenades, green spaces, and views along the Havel River.
  • B. Motława waterfront
    Motława waterfront is a historic riverside promenade in Gdańsk, Poland, lined with colorful townhouses, medieval structures, and bustling tourist attractions along the Motława River.
  • C. Venice of Haná
    Venice of Haná is a picturesque nickname for the Czech town of Litovel, known for its network of water channels and rivers that evoke the feel of Venice.
  • D. Malá Strana
    Malá Strana is a historic district of Prague known for its baroque architecture, narrow streets, and location beneath Prague Castle along the Vltava River.
  • E. Havelchaussee shoreline chosen
    The Havelchaussee shoreline is a scenic waterfront area along the River Havel in Berlin, known for its wooded banks, recreational paths, and views across the water.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555e4ee48190a3b27b4ab9bdb1c8 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.