Triple

T1373320
Position Surface form Disambiguated ID Type / Status
Subject Freiberg Mining Academy E30162 entity
Predicate locatedIn P40 FINISHED
Object Freiberg E123043 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: Freiberg | Statement: [Freiberg Mining Academy, locatedIn, Freiberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freiberg
Context triple: [Freiberg Mining Academy, locatedIn, Freiberg]
  • A. Freiberg chosen
    Freiberg is a historic mining town in eastern Germany renowned for its silver mining heritage and well-preserved medieval architecture.
  • B. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • C. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • D. Stargard
    Stargard is a town in northwestern Poland known for its medieval architecture and historical role as a strategic military and administrative center.
  • E. Zwickau
    Zwickau is a city in the German state of Saxony known historically as an important center of the automotive industry and as the birthplace of composer Robert Schumann.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f4889881908103473a0173e23f completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ae387c8190b72ca26ab81a53b6 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:57 p.m.