Triple

T7390197
Position Surface form Disambiguated ID Type / Status
Subject Georg Simmel E170478 entity
Predicate placeOfDeath P21 FINISHED
Object Strassburg E12607 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: Strassburg | Statement: [Georg Simmel, placeOfDeath, Strassburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strassburg
Context triple: [Georg Simmel, placeOfDeath, Strassburg]
  • A. Strasbourg chosen
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • B. Speyer
    Speyer is a historic city in southwestern Germany on the Rhine River, renowned for its Romanesque imperial cathedral, a UNESCO World Heritage Site.
  • C. Neustadt of Strasbourg
    Neustadt of Strasbourg is a historic late 19th- and early 20th-century urban district in Strasbourg, France, renowned for its monumental German imperial architecture and recognized as a UNESCO World Heritage Site.
  • D. Trier
    Trier is a historic city in western Germany, renowned as one of the country’s oldest cities with extensive Roman ruins and medieval landmarks.
  • E. Wissembourg
    Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2216a5c8190a933b24fda4530d8 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ed3a00819088c6eee3d8b8a7e9 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.