Triple

T14977628
Position Surface form Disambiguated ID Type / Status
Subject Salzkammergut E373492 entity
Predicate contains P35 FINISHED
Object Wolfgangsee E280709 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: Wolfgangsee | Statement: [Salzkammergut, contains, Wolfgangsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfgangsee
Context triple: [Salzkammergut, contains, Wolfgangsee]
  • A. Wolfgangsee chosen
    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.
  • B. Fuschlsee
    Fuschlsee is a picturesque alpine lake in Austria known for its clear turquoise waters, surrounding forested hills, and popular recreational activities such as swimming, hiking, and boating.
  • C. Tegernsee
    Tegernsee is a picturesque alpine lake in southern Germany renowned for its clear waters, surrounding mountains, and popular spa and resort towns.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc625888190bf98eecf5f5b6707 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:51 a.m.