Triple

T20923891
Position Surface form Disambiguated ID Type / Status
Subject Berg, Bavaria E515284 entity
Predicate hasDistrict P459 FINISHED
Object Landkreis Starnberg NE NERFINISHED

How this triple was built (3 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: Landkreis Starnberg | Statement: [Berg, Bavaria, hasDistrict, Landkreis Starnberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landkreis Starnberg
Context triple: [Berg, Bavaria, hasDistrict, Landkreis Starnberg]
  • A. Landkreis Bamberg
    Landkreis Bamberg is a rural district in the Upper Franconia region of Bavaria, Germany, known for its picturesque landscapes, historic towns, and proximity to the UNESCO-listed city of Bamberg.
  • B. Landkreis Unterallgäu
    Landkreis Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the Allgäu Alps.
  • C. Landkreis Deggendorf
    Landkreis Deggendorf is a rural district in Lower Bavaria, Germany, known for its location along the Danube River and its mix of industrial centers and scenic countryside.
  • D. Landkreis Günzburg
    Landkreis Günzburg is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and proximity to the Danube River.
  • E. Landkreis Augsburg
    Landkreis Augsburg is a rural district in the Bavarian region of Swabia in southern Germany, surrounding but not including the city of Augsburg and comprising numerous towns and villages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landkreis Starnberg
Target entity description: Landkreis Starnberg is a rural district in Upper Bavaria, Germany, known for its scenic lakes, affluent communities, and proximity to Munich.
  • A. Landkreis Bamberg
    Landkreis Bamberg is a rural district in the Upper Franconia region of Bavaria, Germany, known for its picturesque landscapes, historic towns, and proximity to the UNESCO-listed city of Bamberg.
  • B. Landkreis Unterallgäu
    Landkreis Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the Allgäu Alps.
  • C. Landkreis Deggendorf
    Landkreis Deggendorf is a rural district in Lower Bavaria, Germany, known for its location along the Danube River and its mix of industrial centers and scenic countryside.
  • D. Landkreis Günzburg
    Landkreis Günzburg is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and proximity to the Danube River.
  • E. Landkreis Augsburg
    Landkreis Augsburg is a rural district in the Bavarian region of Swabia in southern Germany, surrounding but not including the city of Augsburg and comprising numerous towns and villages.
  • F. None of above. chosen

Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6504c30819084e8cabab98d08f7 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.