Triple

T14962098
Position Surface form Disambiguated ID Type / Status
Subject Four Hills Tournament E373087 entity
Predicate locatedIn P40 FINISHED
Object Oberstdorf E231237 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: Oberstdorf | Statement: [Four Hills Tournament, locatedIn, Oberstdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberstdorf
Context triple: [Four Hills Tournament, locatedIn, Oberstdorf]
  • A. Oberstdorf chosen
    Oberstdorf is a renowned alpine resort town in southern Germany known for skiing, ski jumping, and hiking amid dramatic mountain scenery.
  • B. Oberndorf am Lech
    Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
  • C. Igls
    Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
  • D. Oberndorf bei Salzburg
    Oberndorf bei Salzburg is a small Austrian town near Salzburg, best known as the place where the Christmas carol "Silent Night" was first performed.
  • E. Garmisch-Partenkirchen
    Garmisch-Partenkirchen is a renowned Bavarian alpine town in southern Germany, famous for skiing, winter sports, and its picturesque mountain scenery.
  • 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_69feb7d709fc8190990a72faf0af5ee3 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:40 a.m.