Triple

T20929131
Position Surface form Disambiguated ID Type / Status
Subject Schwartzberg E515421 entity
Predicate hasVariant P455 FINISHED
Object Schwarzberg
Schwarzberg is a German-language surname and place name that may refer to various individuals or locations in German-speaking regions.
E1458704 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: Schwarzberg | Statement: [Schwartzberg, hasVariant, Schwarzberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwarzberg
Context triple: [Schwartzberg, hasVariant, Schwarzberg]
  • A. Schwarzenberg
    Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
  • B. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • C. Schwartzberg
    Schwartzberg is the birth surname of American film director Richard Donner, who was born Richard Donald Schwartzberg.
  • D. Kuschnerov
    Kuschnerov is a surname variant of Kushner, a family name of Eastern European Jewish origin.
  • E. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western Germany.
  • 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: Schwarzberg
Triple: [Schwartzberg, hasVariant, Schwarzberg]
Generated description
Schwarzberg is a German-language surname and place name that may refer to various individuals or locations in German-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwarzberg
Target entity description: Schwarzberg is a German-language surname and place name that may refer to various individuals or locations in German-speaking regions.
  • A. Schwarzenberg
    Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
  • B. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • C. Schwartzberg
    Schwartzberg is the birth surname of American film director Richard Donner, who was born Richard Donald Schwartzberg.
  • D. Kuschnerov
    Kuschnerov is a surname variant of Kushner, a family name of Eastern European Jewish origin.
  • E. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western Germany.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f653a25c8190adb46f5d764afba7 completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09278159b081908fb6c5a384a0ad2d completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a092819af008190bc51cd6367d7542a completed May 17, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a092896b75881909d5145ccaef0cd7e completed May 17, 2026, 2:31 a.m.
Created at: April 16, 2026, 12:49 p.m.