Triple

T23247252
Position Surface form Disambiguated ID Type / Status
Subject Forchtenberg E581613 entity
Predicate hasSubdivision P747 FINISHED
Object Neuwülfingen NE NERFINISHED

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: Neuwülfingen | Statement: [Forchtenberg, hasSubdivision, Neuwülfingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuwülfingen
Context triple: [Forchtenberg, hasSubdivision, Neuwülfingen]
  • A. Neuwülfingen chosen
    Neuwülfingen is a former municipality in Baden-Württemberg, Germany, that was incorporated into the town of Forchtenberg.
  • B. Würflach
    Würflach is a small municipality in Lower Austria known for its rural character and scenic surroundings.
  • C. Röfingen
    Röfingen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Gundelfingen
    Gundelfingen is a municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
  • E. Gerolfingen
    Gerolfingen is a small municipality in the Ansbach district of Bavaria, Germany, situated near the Hesselberg, the region’s highest mountain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f1e8448190b8420a8dc6e24576 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.