Triple

T5821163
Position Surface form Disambiguated ID Type / Status
Subject Landstraße E129110 entity
Predicate bordersWith P224 FINISHED
Object Margareten E346712 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: Margareten | Statement: [Landstraße, bordersWith, Margareten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margareten
Context triple: [Landstraße, bordersWith, Margareten]
  • A. Margareten chosen
    Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
  • B. St. Margrethen
    St. Margrethen is a municipality in the canton of St. Gallen in northeastern Switzerland, located near the Austrian border along the Rhine River.
  • C. Magdelon
    Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
  • D. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • E. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e7403881908f5e3fe40183865a completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09856bd7881909bf6a87e0c071103 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.