Triple

T8665571
Position Surface form Disambiguated ID Type / Status
Subject Erich Rothacker E205663 entity
Predicate placeOfBirth P1 FINISHED
Object Pforzheim E208654 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: Pforzheim | Statement: [Erich Rothacker, placeOfBirth, Pforzheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pforzheim
Context triple: [Erich Rothacker, placeOfBirth, Pforzheim]
  • A. Pforzheim chosen
    Pforzheim is a city in southwestern Germany, historically known for its jewelry and watchmaking industry and its heavy destruction during World War II.
  • B. Rastatt
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • C. Rottweil
    Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
  • D. Göppingen
    Göppingen is a town in the German state of Baden-Württemberg known as an industrial and administrative center in the Filstal valley near Stuttgart.
  • E. Albstadt
    Albstadt is a town in the Swabian Jura region of Baden-Württemberg, Germany, known for its textile industry, scenic hiking and cycling routes, and role as a regional economic center.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a1dd1481908c56abca48fcd562 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cb212808190af26adc154006d52 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:31 p.m.