Triple

T15738099
Position Surface form Disambiguated ID Type / Status
Subject Wechselburg E381527 entity
Predicate hasNearbyCity P350 FINISHED
Object Rochlitz E1055915 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: Rochlitz | Statement: [Wechselburg, hasNearbyCity, Rochlitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochlitz
Context triple: [Wechselburg, hasNearbyCity, Rochlitz]
  • A. Rochlitz chosen
    Rochlitz is a small historic town in the German state of Saxony, known for its medieval architecture and the prominent Rochlitz Castle overlooking the Mulde River.
  • B. Elsterwerda
    Elsterwerda is a small town in the state of Brandenburg in eastern Germany, known for its regional railway connections and location near the Elbe-Elster district.
  • C. Prenzlau
    Prenzlau is a rural locality and small town in Queensland, Australia, situated within the Somerset Region and known for its agricultural character.
  • D. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • E. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9341a0c81909057dc338f218b85 completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.