Triple

T12710761
Position Surface form Disambiguated ID Type / Status
Subject Persenbeug-Gottsdorf E303710 entity
Predicate hasSubdivision P747 FINISHED
Object Persenbeug
Persenbeug is a locality in Lower Austria, known as part of the municipality of Persenbeug-Gottsdorf on the Danube River.
 E996823 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: Persenbeug | Statement: [Persenbeug-Gottsdorf, hasSubdivision, Persenbeug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Persenbeug
Context triple: [Persenbeug-Gottsdorf, hasSubdivision, Persenbeug]
  • A. Bersonin
    Bersonin is a political ally of Duke Michael of Strelsau in the fictional kingdom of Ruritania.
  • B. Persenet
    Persenet was an ancient Egyptian queen of the 4th Dynasty, known primarily as a consort of Pharaoh Menkaure.
  • C. Penebui
    Penebui was an ancient Egyptian queen consort of the 2nd Dynasty pharaoh Djer, known primarily from early dynastic inscriptions and tomb evidence.
  • D. Gersprenz
    Gersprenz is a river in the German state of Hesse that flows through the Odenwald region before joining the Main River system.
  • E. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • 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: Persenbeug
Triple: [Persenbeug-Gottsdorf, hasSubdivision, Persenbeug]
Generated description
Persenbeug is a locality in Lower Austria, known as part of the municipality of Persenbeug-Gottsdorf on the Danube River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Persenbeug
Target entity description: Persenbeug is a locality in Lower Austria, known as part of the municipality of Persenbeug-Gottsdorf on the Danube River.
  • A. Bersonin
    Bersonin is a political ally of Duke Michael of Strelsau in the fictional kingdom of Ruritania.
  • B. Persenet
    Persenet was an ancient Egyptian queen of the 4th Dynasty, known primarily as a consort of Pharaoh Menkaure.
  • C. Penebui
    Penebui was an ancient Egyptian queen consort of the 2nd Dynasty pharaoh Djer, known primarily from early dynastic inscriptions and tomb evidence.
  • D. Gersprenz
    Gersprenz is a river in the German state of Hesse that flows through the Odenwald region before joining the Main River system.
  • E. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.