Triple

T8886681
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg Code E211548 entity
Predicate placeFormulated P79270 FINISHED
Object Nuremberg E13122 NE FINISHED

How this triple was built (3 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: Nuremberg | Statement: [Nuremberg Code, placeFormulated, Nuremberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuremberg
Context triple: [Nuremberg Code, placeFormulated, Nuremberg]
  • A. Nuremberg chosen
    Nuremberg is a historic city in Bavaria, Germany, known for its medieval architecture and its role as the site of the post–World War II war crimes tribunals.
  • B. Regensburg
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • C. Munich
    Munich is the capital and largest city of the German state of Bavaria, renowned for its rich cultural scene, historic architecture, and the annual Oktoberfest beer festival.
  • D. Weimar
    Weimar is a historic German city renowned as a center of culture and the arts, associated with figures like Goethe and Schiller and pivotal movements in modern design and architecture.
  • E. Gehrden
    Gehrden is a small town in Lower Saxony, Germany, located near Hanover and known for its surrounding rural villages and scenic landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeFormulated
Context triple: [Nuremberg Code, placeFormulated, Nuremberg]
  • A. locationFormed
    Indicates the place or geographic area where an entity (such as an organization, group, or structure) was originally established or came into existence.
  • B. placeDescribed
    Indicates that one entity provides a description or account of a particular place or location.
  • C. placeType
    Indicates the type or category of place associated with an entity (e.g., city, park, building).
  • D. where chosen
    Indicates a spatial or contextual relationship specifying the location or setting in which an entity exists or an action occurs.
  • E. propertyLocation
    Indicates the geographical place or address where a property is situated or found.
  • F. None of above.

Provenance (4 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618d4c188190810d2e38591f515a completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d12cb799d0819093256f96df60b16b completed April 4, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.