Triple

T3809822
Position Surface form Disambiguated ID Type / Status
Subject Anhalt-Zerbst E93102 entity
Predicate currency P245 FINISHED
Object Kreuzer
The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
E390463 NE FINISHED

How this triple was built (4 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: Kreuzer | Statement: [Anhalt-Zerbst, currency, Kreuzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreuzer
Context triple: [Anhalt-Zerbst, currency, Kreuzer]
  • A. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • B. Streicher
    Streicher is a German surname most infamously associated with Julius Streicher, a prominent Nazi propagandist and publisher of the antisemitic newspaper Der Stürmer.
  • C. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Rudolph Schnaubelt
    Rudolph Schnaubelt was a German-American anarchist best known as a suspected participant in the 1886 Haymarket affair in Chicago.
  • E. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kreuzer
Triple: [Anhalt-Zerbst, currency, Kreuzer]
Generated description
The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kreuzer
Target entity description: The Kreuzer was a small silver coin and monetary unit used for centuries in various German-speaking states within the Holy Roman Empire and beyond.
  • A. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • B. Streicher
    Streicher is a German surname most infamously associated with Julius Streicher, a prominent Nazi propagandist and publisher of the antisemitic newspaper Der Stürmer.
  • C. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Rudolph Schnaubelt
    Rudolph Schnaubelt was a German-American anarchist best known as a suspected participant in the 1886 Haymarket affair in Chicago.
  • E. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80e178081908cff71223bbf6c43 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb33db9c81908b462ee80aaaad34 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fc08d65081908953482b10fa5611 completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc7d8cf081909c4447818b5363c5 completed March 14, 2026, 6:13 a.m.
Created at: March 9, 2026, 3:16 p.m.