Triple

T20319238
Position Surface form Disambiguated ID Type / Status
Subject Schering E492162 entity
Predicate hasVariant P455 FINISHED
Object Schehring
Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
E1425626 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: Schehring | Statement: [Schering, hasVariant, Schehring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schehring
Context triple: [Schering, hasVariant, Schehring]
  • A. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • B. Steindorf
    Steindorf is a small municipality in the Bavarian district of Aichach-Friedberg in southern Germany.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern 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: Schehring
Triple: [Schering, hasVariant, Schehring]
Generated description
Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schehring
Target entity description: Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
  • A. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • B. Steindorf
    Steindorf is a small municipality in the Bavarian district of Aichach-Friedberg in southern Germany.
  • C. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778abd14819098a01fd32217fdde completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08694d9d80819086ba91e8763c6b50 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869cc7308819087028f44af0386c2 completed May 16, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a086ab4c0a08190a1cd3ca5ea07512f completed May 16, 2026, 1:01 p.m.
Created at: April 16, 2026, 11:20 a.m.