Triple

T14087435
Position Surface form Disambiguated ID Type / Status
Subject Midden-Drenthe E339033 entity
Predicate hasCapital P204 FINISHED
Object Beilen
Beilen is a town in the Dutch province of Drenthe that serves as the administrative center of the municipality of Midden-Drenthe.
E1080317 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: Beilen | Statement: [Midden-Drenthe, hasCapital, Beilen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beilen
Context triple: [Midden-Drenthe, hasCapital, Beilen]
  • A. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • B. Beuel
    Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
  • C. Schippenbeil
    Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
  • D. Ilkenau
    Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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: Beilen
Triple: [Midden-Drenthe, hasCapital, Beilen]
Generated description
Beilen is a town in the Dutch province of Drenthe that serves as the administrative center of the municipality of Midden-Drenthe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beilen
Target entity description: Beilen is a town in the Dutch province of Drenthe that serves as the administrative center of the municipality of Midden-Drenthe.
  • A. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • B. Beuel
    Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
  • C. Schippenbeil
    Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
  • D. Ilkenau
    Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a5c9948190805c2e687c8809ff completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd56da6408190bdbce6581c51d065 completed May 7, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fcd5f8266081909ff9148a77d63ea8 completed May 7, 2026, 6:12 p.m.
Created at: April 9, 2026, 10:21 p.m.