Triple

T7455793
Position Surface form Disambiguated ID Type / Status
Subject Doesburg E172118 entity
Predicate hasLandmark P105 FINISHED
Object Martinikerk Doesburg
Martinikerk Doesburg is a historic Gothic church in the Dutch city of Doesburg, renowned for its towering spire and prominent role in the town’s skyline and heritage.
 E665744 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: Martinikerk Doesburg | Statement: [Doesburg, hasLandmark, Martinikerk Doesburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martinikerk Doesburg
Context triple: [Doesburg, hasLandmark, Martinikerk Doesburg]
  • A. Lessines
    Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
  • B. Marsdijk
    Marsdijk is a residential district of the city of Assen in the province of Drenthe, Netherlands.
  • C. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • D. ’s-Heerenhoek
    ’s-Heerenhoek is a village in the Dutch province of Zeeland, known for its traditional character and rural surroundings.
  • E. Stellendam
    Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
  • 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: Martinikerk Doesburg
Triple: [Doesburg, hasLandmark, Martinikerk Doesburg]
Generated description
Martinikerk Doesburg is a historic Gothic church in the Dutch city of Doesburg, renowned for its towering spire and prominent role in the town’s skyline and heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martinikerk Doesburg
Target entity description: Martinikerk Doesburg is a historic Gothic church in the Dutch city of Doesburg, renowned for its towering spire and prominent role in the town’s skyline and heritage.
  • A. Lessines
    Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
  • B. Marsdijk
    Marsdijk is a residential district of the city of Assen in the province of Drenthe, Netherlands.
  • C. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • D. ’s-Heerenhoek
    ’s-Heerenhoek is a village in the Dutch province of Zeeland, known for its traditional character and rural surroundings.
  • E. Stellendam
    Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3af58dc819093fb0482482779a3 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c39a848190bc275468362ce3bc completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828e1487081908de825d60ea38c9e completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c829d8a15c8190911e0d7bda39c280 completed March 28, 2026, 7:19 p.m.
Created at: March 27, 2026, 3:15 p.m.