Triple

T6201410
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Rostock E138640 entity
Predicate contains P35 FINISHED
Object Grimmen
Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
 E575885 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: Grimmen | Statement: [Bezirk Rostock, contains, Grimmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grimmen
Context triple: [Bezirk Rostock, contains, Grimmen]
  • A. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • B. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • E. Heidkrüger
    Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
  • 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: Grimmen
Triple: [Bezirk Rostock, contains, Grimmen]
Generated description
Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grimmen
Target entity description: Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
  • A. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • B. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • E. Heidkrüger
    Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062559bcc81908942bb4d25fe8158 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f366cfc81909cca73677268821a completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e375c5948190ad166089e866694a completed March 24, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1e43fa8348190a2247996d88b5011 completed March 24, 2026, 1:09 a.m.
Created at: March 22, 2026, 4:20 p.m.