Triple

T30544
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg Laws E609 entity
Predicate placeOfEnactment P2108 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 Laws, placeOfEnactment, Nuremberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuremberg
Context triple: [Nuremberg Laws, placeOfEnactment, 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. Ulm
    Ulm is a historic city in the German state of Baden-Württemberg, best known for its towering Gothic cathedral and as the birthplace of physicist Albert Einstein.
  • C. Heidelberg
    Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
  • D. Frankfurt am Main
    Frankfurt am Main is a major German financial and transportation hub on the River Main, known for hosting the European Central Bank and one of Europe’s busiest airports.
  • E. Potsdam
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • 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: placeOfEnactment
Context triple: [Nuremberg Laws, placeOfEnactment, Nuremberg]
  • A. enactedDuring
    Indicates that an action, event, or state occurred within the temporal span of a specified time period or event.
  • B. dateOfEnactment
    Indicates the specific calendar date on which a law, regulation, or formal measure officially comes into force.
  • C. enactedBy
    Indicates that a law, policy, or formal measure is officially established or brought into effect by a specific authority or governing body.
  • D. dateEnacted
    Indicates the date on which a law, policy, or formal measure was officially put into effect or became legally operative.
  • E. seatOfGovernment
    Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
  • F. None of above. chosen

Provenance (5 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490d80a0819083bf604c1229e903 completed Feb. 28, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf62f0f481909e1efb2f3b903694 completed Feb. 28, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69a2486eb01881909241540dda28e1ff completed Feb. 28, 2026, 1:44 a.m.
PDg Predicate description generation batch_69a2490c9c348190bf8536a08415b94a completed Feb. 28, 2026, 1:46 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.