Triple

T17147884
Position Surface form Disambiguated ID Type / Status
Subject Stadtsee lakefront E416140 entity
Predicate adjacentTo P224 FINISHED
Object Stadtsee NE NERFINISHED

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: Stadtsee | Statement: [Stadtsee lakefront, adjacentTo, Stadtsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadtsee
Context triple: [Stadtsee lakefront, adjacentTo, Stadtsee]
  • A. Stadtsee chosen
    Stadtsee is a small lake located in the town of Bad Waldsee in southern Germany, known for its scenic setting and recreational use.
  • B. Muldestausee
    Muldestausee is a municipality in the district of Anhalt-Bitterfeld in Saxony-Anhalt, Germany, known for the large Mulde reservoir and its surrounding natural and recreational areas.
  • C. Tachinger See
    Tachinger See is a small scenic lake in the Chiemgau region of Bavaria, Germany, known for swimming, fishing, and its tranquil natural surroundings.
  • D. Pfäffikersee
    Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
  • E. Kemnader See
    Kemnader See is an artificial lake and popular recreational area on the Ruhr River in western Germany, known for water sports, cycling paths, and leisure activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f404f0e88190b7ac9ac523fdc7da completed April 18, 2026, 9:13 p.m.
Created at: April 10, 2026, 5:36 a.m.