Triple

T7620459
Position Surface form Disambiguated ID Type / Status
Subject Berchem E172477 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Zurenborg
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
E688146 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: Zurenborg | Statement: [Berchem, hasNeighbourhood, Zurenborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurenborg
Context triple: [Berchem, hasNeighbourhood, Zurenborg]
  • A. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • B. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • C. Warffum
    Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
  • D. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • E. Culemborg
    Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
  • 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: Zurenborg
Triple: [Berchem, hasNeighbourhood, Zurenborg]
Generated description
Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zurenborg
Target entity description: Zurenborg is a historic and architecturally distinctive district in Antwerp, Belgium, renowned for its eclectic and Art Nouveau townhouses.
  • A. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • B. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • C. Warffum
    Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
  • D. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • E. Culemborg
    Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d69516a88190912a9574aef3d1f8 completed March 29, 2026, 7:36 a.m.
NEDg Description generation batch_69c8d71a89d08190b578682365b81d2f completed March 29, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8d76f76a881909dab6c0cb8f48b80 completed March 29, 2026, 7:40 a.m.
Created at: March 27, 2026, 3:55 p.m.