Triple

T9151519
Position Surface form Disambiguated ID Type / Status
Subject District of Starnberg E219595 entity
Predicate hasMunicipality P847 FINISHED
Object Feldafing E233076 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: Feldafing | Statement: [District of Starnberg, hasMunicipality, Feldafing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feldafing
Context triple: [District of Starnberg, hasMunicipality, Feldafing]
  • A. Feldafing chosen
    Feldafing is a Bavarian lakeside municipality in southern Germany known for its scenic location on the western shore of Lake Starnberg and its historic villas and parklands.
  • B. Fürstenried
    Fürstenried is a residential district in the southwest of Munich, Germany, known for its post-war housing estates and proximity to green spaces and the Fürstenried Palace.
  • C. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • D. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • E. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96cf4548190a3a45172f0e9d0ec completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1077a9cb0819086996b4930a44a93 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:20 p.m.