Triple

T3233169
Position Surface form Disambiguated ID Type / Status
Subject Hannelore Kohl E67788 entity
Predicate burialPlace P196 FINISHED
Object Speyer, Germany E214406 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: Speyer, Germany | Statement: [Hannelore Kohl, burialPlace, Speyer, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speyer, Germany
Context triple: [Hannelore Kohl, burialPlace, Speyer, Germany]
  • A. Speyer chosen
    Speyer is a historic city in southwestern Germany on the Rhine River, renowned for its Romanesque imperial cathedral, a UNESCO World Heritage Site.
  • B. Würzburg, Germany
    Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
  • 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. Landsberg
    Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2773b494c8190a2c0c5042e8eaa55 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.