Triple

T1594271
Position Surface form Disambiguated ID Type / Status
Subject Havel E34243 entity
Predicate hasLakeExpansion P29668 FINISHED
Object Wannsee E4533 NE FINISHED

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: Wannsee | Statement: [Havel, hasLakeExpansion, Wannsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wannsee
Context triple: [Havel, hasLakeExpansion, Wannsee]
  • A. Wannsee chosen
    Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
  • B. Borsigwalde
    Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Friedenau
    Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
  • E. Oberwallenstadt
    Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLakeExpansion
Context triple: [Havel, hasLakeExpansion, Wannsee]
  • A. hasExpansion
    Indicates that one entity serves as a larger, extended, or elaborated form of another entity.
  • B. hasMajorLake
    Indicates that a geographic region or area contains at least one significant lake within its boundaries.
  • C. usesLakeFor
    Indicates that an entity utilizes a lake as a resource or setting for some purpose, activity, or function.
  • D. hasLagoon
    Indicates that one entity possesses, contains, or is characterized by a lagoon in relation to another entity or location.
  • E. hasNearbyLake
    Indicates that one entity is located close to or in the vicinity of a lake.
  • F. None of above. chosen

Provenance (5 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a595488190a73cfa867595b568 completed March 8, 2026, 9:51 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a916d2fae48190aaac6b2a5e31a7cf completed March 5, 2026, 5:38 a.m.
Created at: March 4, 2026, 7:27 p.m.