Triple

T22739622
Position Surface form Disambiguated ID Type / Status
Subject Heppenheim E562372 entity
Predicate hasOldTown P295 FINISHED
Object Altstadt Heppenheim 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: Altstadt Heppenheim | Statement: [Heppenheim, hasOldTown, Altstadt Heppenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altstadt Heppenheim
Context triple: [Heppenheim, hasOldTown, Altstadt Heppenheim]
  • A. Heppenheim chosen
    Heppenheim is a historic town in southwestern Germany, known for its picturesque old town, vineyards, and location on the Bergstraße at the edge of the Odenwald.
  • B. Uffenheim
    Uffenheim is a small town in the Franconian region of northern Bavaria, Germany, known for its historic architecture and rural surroundings.
  • C. Weilburg
    Weilburg is a historic town in the German state of Hesse, known for its Renaissance castle and as the ancestral seat of the House of Nassau-Weilburg.
  • D. Mainstockheim
    Mainstockheim is a small municipality in the Franconian region of northern Bavaria, Germany, situated along the Main River and known for its winegrowing tradition.
  • E. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797241588190be67db7a37a88f23 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.