Triple

T2852341
Position Surface form Disambiguated ID Type / Status
Subject Charles I of Austria E63121 entity
Predicate birthPlace P1 FINISHED
Object Persenbeug-Gottsdorf
Persenbeug-Gottsdorf is a market town in Lower Austria on the Danube River, historically notable as the birthplace of the last Austro-Hungarian Emperor, Charles I.
E303710 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-Gottsdorf | Statement: [Charles I of Austria, birthPlace, Persenbeug-Gottsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persenbeug-Gottsdorf
Context triple: [Charles I of Austria, birthPlace, Persenbeug-Gottsdorf]
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • C. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • 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-Gottsdorf
Triple: [Charles I of Austria, birthPlace, Persenbeug-Gottsdorf]
Generated description
Persenbeug-Gottsdorf is a market town in Lower Austria on the Danube River, historically notable as the birthplace of the last Austro-Hungarian Emperor, Charles I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Persenbeug-Gottsdorf
Target entity description: Persenbeug-Gottsdorf is a market town in Lower Austria on the Danube River, historically notable as the birthplace of the last Austro-Hungarian Emperor, Charles I.
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • C. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe98243508190837853fa2c08e44a completed March 10, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69b008b519bc81908768fba43c5c8d5e completed March 10, 2026, 12:04 p.m.
Created at: March 6, 2026, 10:02 p.m.