Triple

T85883
Position Surface form Disambiguated ID Type / Status
Subject Germany E1728 entity
Predicate hasSubdivision P747 FINISHED
Object Hesse
Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
 E14304 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: Hesse | Statement: [Germany, hasSubdivision, Hesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hesse
Context triple: [Germany, hasSubdivision, Hesse]
  • A. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • C. Saxony
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • D. Hesse-Kassel
    Hesse-Kassel was a German principality known for supplying large numbers of Hessian mercenary troops to fight alongside the British during the American Revolutionary War.
  • E. Sachse
    Sachse is a suburban city in the Dallas–Fort Worth metropolitan area of northeastern Texas.
  • 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: Hesse
Triple: [Germany, hasSubdivision, Hesse]
Generated description
Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hesse
Target entity description: Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
  • A. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • C. Saxony
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • D. Hesse-Kassel
    Hesse-Kassel was a German principality known for supplying large numbers of Hessian mercenary troops to fight alongside the British during the American Revolutionary War.
  • E. Sachse
    Sachse is a suburban city in the Dallas–Fort Worth metropolitan area of northeastern Texas.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4fa22c819096152bb577e11fa6 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e45d6488190bc982137255c79f9 completed Feb. 28, 2026, 7:50 a.m.
NEDg Description generation batch_69a2a04b1d008190aa1b353cb239de69 completed Feb. 28, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69a2a17dd35c81909b90cae5ad204aae completed Feb. 28, 2026, 8:04 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.