Triple

T8954790
Position Surface form Disambiguated ID Type / Status
Subject Anklam E213445 entity
Predicate locatedNear P294 FINISHED
Object Stettin Lagoon E156594 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: Stettin Lagoon | Statement: [Anklam, locatedNear, Stettin Lagoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stettin Lagoon
Context triple: [Anklam, locatedNear, Stettin Lagoon]
  • A. Szczecin Lagoon chosen
    The Szczecin Lagoon is a large brackish water lagoon on the Baltic Sea, shared by Poland and Germany, known for its rich birdlife, fisheries, and role as a key waterway near the port city of Szczecin.
  • B. Vistula Lagoon
    Vistula Lagoon is a shallow, brackish coastal lagoon on the Baltic Sea, shared by Poland and Russia’s Kaliningrad Oblast, known for its sandspit barrier and important bird habitats.
  • C. Krakower See
    Krakower See is a scenic lake in northeastern Germany’s Mecklenburg Lake District, known for its natural beauty, recreational opportunities, and surrounding protected landscapes.
  • D. Blausee
    Blausee is a small, crystal-clear alpine lake in the Swiss Bernese Oberland, famed for its striking blue waters and tranquil forest surroundings.
  • E. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6724f3e4819092c6b13d80871e80 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc21405ac8190a7129c0877ef41b0 completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 7 p.m.