Triple

T1971886
Position Surface form Disambiguated ID Type / Status
Subject Martin Bucer E42818 entity
Predicate employer P7 FINISHED
Object City of Strasbourg 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: City of Strasbourg | Statement: [Martin Bucer, employer, City of Strasbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Strasbourg
Context triple: [Martin Bucer, employer, City of Strasbourg]
  • 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. 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.
  • C. European Quarter of Strasbourg
    The European Quarter of Strasbourg is a district in Strasbourg, France that hosts major European institutions and serves as a key center of European governance and diplomacy.
  • D. Mulhouse
    Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
  • E. Imperial City of Offenburg
    The Imperial City of Offenburg was a self-governing Free Imperial City of the Holy Roman Empire located in what is now southwestern Germany.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65254bf48190bc12fb982dfde46c completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:36 p.m.