Triple

T3160432
Position Surface form Disambiguated ID Type / Status
Subject Pöcking E66087 entity
Predicate hasSubdivision P747 FINISHED
Object Possenhofen E235838 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: Possenhofen | Statement: [Pöcking, hasSubdivision, Possenhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Possenhofen
Context triple: [Pöcking, hasSubdivision, Possenhofen]
  • A. Possenhofen chosen
    Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
  • B. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • 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. Bernau am Chiemsee
    Bernau am Chiemsee is a Bavarian lakeside municipality in southern Germany known as a popular gateway to the Chiemsee and the surrounding Alpine foothills.
  • E. Pfaffenhofen an der Ilm
    Pfaffenhofen an der Ilm is a Bavarian town in southern Germany known for its historic center, hop-growing tradition, and location between Munich and Ingolstadt.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61606bc8190a8ad760d680924eb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324e2f1448190be5b744abdeed314 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:05 p.m.