Triple

T16310655
Position Surface form Disambiguated ID Type / Status
Subject Rheinberg E396044 entity
Predicate subdivision P747 FINISHED
Object Orsoy
Orsoy is a historic district and former town on the Rhine River that now forms part of the city of Rheinberg in North Rhine-Westphalia, Germany.
E1206349 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: Orsoy | Statement: [Rheinberg, subdivision, Orsoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orsoy
Context triple: [Rheinberg, subdivision, Orsoy]
  • A. Volosko
    Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • B. Capodistria
    Capodistria is the historical Italian name for the coastal Slovenian city now known as Koper, an important Adriatic port with a mixed Venetian and Central European heritage.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Isseroda
    Isseroda is a small municipality in the German state of Thuringia, located near the city of Weimar.
  • E. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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: Orsoy
Triple: [Rheinberg, subdivision, Orsoy]
Generated description
Orsoy is a historic district and former town on the Rhine River that now forms part of the city of Rheinberg in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orsoy
Target entity description: Orsoy is a historic district and former town on the Rhine River that now forms part of the city of Rheinberg in North Rhine-Westphalia, Germany.
  • A. Volosko
    Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • B. Capodistria
    Capodistria is the historical Italian name for the coastal Slovenian city now known as Koper, an important Adriatic port with a mixed Venetian and Central European heritage.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Isseroda
    Isseroda is a small municipality in the German state of Thuringia, located near the city of Weimar.
  • E. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa6ceb48190b937a15b94fd3cfa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00219696dc8190bcce66c1eeb07561 completed May 10, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.