Triple

T9713969
Position Surface form Disambiguated ID Type / Status
Subject Bad Wiessee E235091 entity
Predicate locatedOn P40 FINISHED
Object Lake Tegernsee E42425 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 Tegernsee | Statement: [Bad Wiessee, locatedOn, Lake Tegernsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Tegernsee
Context triple: [Bad Wiessee, locatedOn, Lake Tegernsee]
  • A. Tegernsee chosen
    Tegernsee is a picturesque alpine lake in southern Germany renowned for its clear waters, surrounding mountains, and popular spa and resort towns.
  • B. 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.
  • C. Königssee
    Königssee is a picturesque alpine lake in southeastern Germany, renowned for its emerald-green waters, steep surrounding mountains, and status as one of the cleanest lakes in the country.
  • D. Tüttensee
    Tüttensee is a small lake in the Chiemgau region of Bavaria, Germany, known for its scenic setting and local recreational use.
  • E. Chiemsee
    Chiemsee is one of Germany’s largest lakes, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee with its royal palace.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
Created at: March 30, 2026, 8:19 p.m.