Triple

T1153940
Position Surface form Disambiguated ID Type / Status
Subject Drenthe E23739 entity
Predicate capital P234 FINISHED
Object Assen
Assen is a city in the northeastern Netherlands best known as the capital of the province of Drenthe and for hosting the annual TT Circuit motorcycle races.
E132426 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: Assen | Statement: [Drenthe, capital, Assen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assen
Context triple: [Drenthe, capital, Assen]
  • A. Zandvoort
    Zandvoort is a Dutch coastal town on the North Sea known for its sandy beaches and the nearby Circuit Zandvoort motor racing track.
  • B. Arnhem
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • C. Eindhoven
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • D. Zundert, Netherlands
    Zundert, Netherlands is a small Dutch town in North Brabant best known as the birthplace of painter Vincent van Gogh.
  • E. Eindhoven Strijp-S
    Eindhoven Strijp-S is a railway station in the Strijp-S district of Eindhoven, Netherlands, serving a redeveloped former industrial area known for its creative and cultural industries.
  • 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: Assen
Triple: [Drenthe, capital, Assen]
Generated description
Assen is a city in the northeastern Netherlands best known as the capital of the province of Drenthe and for hosting the annual TT Circuit motorcycle races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Assen
Target entity description: Assen is a city in the northeastern Netherlands best known as the capital of the province of Drenthe and for hosting the annual TT Circuit motorcycle races.
  • A. Zandvoort
    Zandvoort is a Dutch coastal town on the North Sea known for its sandy beaches and the nearby Circuit Zandvoort motor racing track.
  • B. Arnhem
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • C. Eindhoven
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • D. Zundert, Netherlands
    Zundert, Netherlands is a small Dutch town in North Brabant best known as the birthplace of painter Vincent van Gogh.
  • E. Eindhoven Strijp-S
    Eindhoven Strijp-S is a railway station in the Strijp-S district of Eindhoven, Netherlands, serving a redeveloped former industrial area known for its creative and cultural industries.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8e9cb481908a528a828b21d497 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb81790819087016b1620353417 completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac612fee3881908abba96acf1b60ef completed March 7, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ac621c445081908bd3aa6f9c258caf completed March 7, 2026, 5:36 p.m.
Created at: March 1, 2026, 7:44 p.m.