Triple

T6787587
Position Surface form Disambiguated ID Type / Status
Subject Werder (Havel) E155848 entity
Predicate hasGeographicFeature P940 FINISHED
Object Havel lakes E573001 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 lakes | Statement: [Werder (Havel), hasGeographicFeature, Havel lakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel lakes
Context triple: [Werder (Havel), hasGeographicFeature, Havel lakes]
  • A. Havel lakes chosen
    The Havel lakes are a chain of interconnected lakes along the River Havel in and around Berlin, popular for boating, swimming, and scenic waterfront recreation.
  • B. Tatra lake system
    The Tatra lake system is a group of high-mountain glacial lakes scattered throughout the Tatra Mountains on the Polish–Slovak border, known for their clear waters and dramatic alpine surroundings.
  • C. Pisochne Lake
    Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
  • D. Popovo Lake
    Popovo Lake is a prominent glacial lake in Bulgaria, known as one of the largest and most scenic high-altitude lakes in the Pirin Mountains.
  • E. Rohlík Lake
    Rohlík Lake is a small urban lake and recreational spot located in the Ružinov district of Bratislava, Slovakia.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a871a84819098891f66c6e5b579 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.