Triple

T14962094
Position Surface form Disambiguated ID Type / Status
Subject Four Hills Tournament E373087 entity
Predicate venue P373 FINISHED
Object Schattenbergschanze E809398 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: Schattenbergschanze | Statement: [Four Hills Tournament, venue, Schattenbergschanze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schattenbergschanze
Context triple: [Four Hills Tournament, venue, Schattenbergschanze]
  • A. Schattenbergschanze chosen
    Schattenbergschanze is a prominent ski jumping hill in Oberstdorf, Germany, best known as a regular venue for international competitions such as the Four Hills Tournament.
  • B. Tillyschanze
    Tillyschanze is a historic lookout tower and popular viewpoint near Hann. Münden in Lower Saxony, Germany, offering panoramic views over the town and surrounding landscape.
  • C. Hochfirstschanze
    Hochfirstschanze is a prominent ski jumping hill in Titisee-Neustadt, Germany, known for hosting international ski jumping competitions.
  • D. Sternschanze
    Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
  • E. Bad Birnbach
    Bad Birnbach is a Bavarian spa town in southeastern Germany known for its thermal baths and rural, health-resort atmosphere.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cece6881908cd8c8fe41583bee completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdd27808190b52bdbf5da5b01d6 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.