Triple

T4671571
Position Surface form Disambiguated ID Type / Status
Subject Titisee-Neustadt E102973 entity
Predicate touristAttraction P530 FINISHED
Object Lake Titisee E464143 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: Lake Titisee | Statement: [Titisee-Neustadt, touristAttraction, Lake Titisee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Titisee
Context triple: [Titisee-Neustadt, touristAttraction, Lake Titisee]
  • A. Lake Titisee chosen
    Lake Titisee is a popular glacial lake and tourist destination in Germany’s Black Forest, known for its scenic surroundings and recreational activities.
  • B. Lake Burgäschi
    Lake Burgäschi is a small scenic lake in the Swiss Plateau, known for its surrounding wetlands and archaeological sites from prehistoric pile-dwelling settlements.
  • C. Lake Baldegg
    Lake Baldegg is a small glacial lake in central Switzerland known for its scenic surroundings and role in regional recreation and nature conservation.
  • D. Lake Lungern
    Lake Lungern is a picturesque alpine lake in the canton of Obwalden, Switzerland, known for its turquoise waters, surrounding mountain scenery, and popular recreational activities.
  • E. Alpsee
    Alpsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear waters and scenic setting near the royal castles of Neuschwanstein and Hohenschwangau.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63506090819083ff8271adc5ef75 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39c275a88190a65ceb1586257d1e completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:15 p.m.