Triple

T10061492
Position Surface form Disambiguated ID Type / Status
Subject Imola E212999 entity
Predicate hasTwinTown P919 FINISHED
Object Weinheim E567834 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: Weinheim | Statement: [Imola, hasTwinTown, Weinheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinheim
Context triple: [Imola, hasTwinTown, Weinheim]
  • A. Weinheim chosen
    Weinheim is a historic town in southwestern Germany, known for its picturesque old town, twin castles, and location on the Bergstraße at the edge of the Odenwald.
  • B. Bensheim
    Bensheim is a historic town in southern Hesse, Germany, known for its wine-growing tradition and picturesque location on the Bergstraße at the edge of the Odenwald.
  • C. Weikersheim
    Weikersheim is a small historic town in the Tauber Valley of Baden-Württemberg, Germany, known for its Renaissance castle and well-preserved old town.
  • D. Herrlingen
    Herrlingen is a small village in the German state of Baden-Württemberg, historically noted as the place where Field Marshal Erwin Rommel spent his final days during World War II.
  • E. Wehrheim
    Wehrheim is a small municipality in the Hochtaunus district of Hesse, Germany, known for its rural character and proximity to the Taunus mountain range.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4f31e3d5c8190a044eaf67ebc9f08 completed April 19, 2026, 3:22 p.m.
Created at: March 30, 2026, 8:57 p.m.