Triple

T21396915
Position Surface form Disambiguated ID Type / Status
Subject Teufelsfenn nature reserve E527809 entity
Predicate hasFeature P182 FINISHED
Object Teufelssee 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: Teufelssee | Statement: [Teufelsfenn nature reserve, hasFeature, Teufelssee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teufelssee
Context triple: [Teufelsfenn nature reserve, hasFeature, Teufelssee]
  • A. Teufelssee chosen
    Teufelssee is a small natural lake in Berlin known for its scenic setting, recreational swimming, and clothing-optional bathing area.
  • B. Geiseltalsee
    Geiseltalsee is a large artificial lake in Saxony-Anhalt, Germany, created by flooding a former lignite mining area and now used for recreation and nature conservation.
  • C. Scharmützelsee
    Scharmützelsee is a popular lake in eastern Germany known for its scenic surroundings, recreational activities, and spa resorts.
  • D. Staffelsee
    Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
  • E. Grimnitzsee
    Grimnitzsee is a natural lake in Brandenburg, Germany, known for its scenic forests, clear waters, and recreational opportunities near the town of Joachimsthal.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b11a2aec8190a60e53b90d0823b1 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.