Triple

T10343794
Position Surface form Disambiguated ID Type / Status
Subject Mangfall Mountains E243689 entity
Predicate borders P224 FINISHED
Object 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: Tegernsee | Statement: [Mangfall Mountains, borders, Tegernsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegernsee
Context triple: [Mangfall Mountains, borders, 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. 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.
  • C. Wolfgangsee
    Wolfgangsee is a picturesque alpine lake in Austria renowned for its clear waters, surrounding mountains, and popular lakeside resort towns such as St. Wolfgang and St. Gilgen.
  • D. 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.
  • E. Walchensee
    Walchensee is a large alpine lake in Bavaria, Germany, renowned for its clear turquoise waters, scenic mountain surroundings, and use in hydroelectric power generation.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbacad608190adddd91f13e4113b completed April 19, 2026, 12:33 p.m.
Created at: April 6, 2026, 11:55 a.m.