Triple

T23158785
Position Surface form Disambiguated ID Type / Status
Subject Kreis Freiberg E578521 entity
Predicate contains P35 FINISHED
Object Reinsberg 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: Reinsberg | Statement: [Kreis Freiberg, contains, Reinsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinsberg
Context triple: [Kreis Freiberg, contains, Reinsberg]
  • A. Reinsberg chosen
    Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • B. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • C. Johannisberg
    Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
  • D. Johannisberg
    Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
  • E. Triesenberg
    Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efeddd48190b6d03d2146583dcc completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.