Triple

T2613871
Position Surface form Disambiguated ID Type / Status
Subject Johann Salomo Semler E58839 entity
Predicate placeOfDeath P21 FINISHED
Object Halle (Saale) E94413 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: Halle (Saale) | Statement: [Johann Salomo Semler, placeOfDeath, Halle (Saale)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halle (Saale)
Context triple: [Johann Salomo Semler, placeOfDeath, Halle (Saale)]
  • A. Halle (Saale) chosen
    Halle (Saale) is a major city in the German state of Saxony-Anhalt, known as an important economic, cultural, and educational center, including being home to the Martin Luther University of Halle-Wittenberg.
  • B. Halle
    Halle is a surname most notably borne by Morris Halle, a prominent linguist and phonologist.
  • C. Oranienburg
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • D. Brandenburg an der Havel
    Brandenburg an der Havel is a historic town in eastern Germany, considered one of the cradles of the state of Brandenburg and known for its medieval architecture and waterways.
  • E. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87dcfbc8190b264062002bfe4ba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90817f8c81908c3792bd406c5ce6 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.