Triple

T10290403
Position Surface form Disambiguated ID Type / Status
Subject Issoudun E241346 entity
Predicate hasTwinTown P919 FINISHED
Object Torgau E214584 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: Torgau | Statement: [Issoudun, hasTwinTown, Torgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torgau
Context triple: [Issoudun, hasTwinTown, Torgau]
  • A. Torgau chosen
    Torgau is a historic town in eastern Germany, known for its Renaissance architecture and its role as a key meeting point of Allied forces near the end of World War II.
  • B. Neustrelitz
    Neustrelitz is a town in northeastern Germany known for hosting a key research center of the German Aerospace Center (DLR), particularly focused on satellite data and space-related technologies.
  • 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. Görlitz
    Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
  • E. Frankfurt (Oder)
    Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9336139088190bd9ea3e2333c59cb completed April 10, 2026, 5:29 p.m.
Created at: April 6, 2026, 11:41 a.m.