Triple

T8787870
Position Surface form Disambiguated ID Type / Status
Subject Traunstein district E209087 entity
Predicate contains P35 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: [Traunstein district, contains, Traunstein (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traunstein (town)
Context triple: [Traunstein district, contains, 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. 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.
  • C. 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.
  • D. 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.
  • E. Füssen
    Füssen is a picturesque Bavarian town in southern Germany, known for its historic old town, proximity to Neuschwanstein Castle, and scenic location near the Alps.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf520678f48190a0af3df75df9b269 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.