Triple

T23014841
Position Surface form Disambiguated ID Type / Status
Subject Grunewald E573002 entity
Predicate hasLake P1025 FINISHED
Object Hundekehlesee 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: Hundekehlesee | Statement: [Grunewald, hasLake, Hundekehlesee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hundekehlesee
Context triple: [Grunewald, hasLake, Hundekehlesee]
  • A. Hundekehlesee chosen
    Hundekehlesee is a small lake in Berlin’s Grunewald forest, popular for recreation and nature walks.
  • B. Stadtsee
    Stadtsee is a small lake located in the town of Bad Waldsee in southern Germany, known for its scenic setting and recreational use.
  • C. Taching am See
    Taching am See is a small lakeside municipality in southeastern Bavaria, Germany, known for its scenic setting on Lake Taching and its rural, recreational character.
  • D. 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.
  • E. Neuer See
    Neuer See is a scenic lake in Berlin’s Tiergarten park, popular for boating and relaxation amid wooded surroundings.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.