Triple

T14091373
Position Surface form Disambiguated ID Type / Status
Subject Hufschlag E339138 entity
Predicate partOf P40 FINISHED
Object Traunstein (town) E335655 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: Traunstein (town) | Statement: [Hufschlag, partOf, Traunstein (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traunstein (town)
Context triple: [Hufschlag, partOf, Traunstein (town)]
  • A. Traunstein chosen
    Traunstein is a town in southeastern Bavaria, Germany, known as a regional administrative and cultural center near the Chiemsee and the Alps.
  • B. Straßkirchen
    Straßkirchen is a municipality in Lower Bavaria, Germany, known for its rural character and location near the city of Straubing.
  • C. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • D. Gstadt am Chiemsee
    Gstadt am Chiemsee is a small Bavarian lakeside municipality in southeastern Germany, known as a gateway to the Chiemsee islands and for its scenic Alpine surroundings.
  • E. Traunstein district
    Traunstein district is a rural administrative district in southeastern Bavaria, Germany, known for its Alpine landscapes, lakes such as Chiemsee, and proximity to the Austrian border.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.