Triple

T5860430
Position Surface form Disambiguated ID Type / Status
Subject Nieuwpoort E130261 entity
Predicate hasPart P35 FINISHED
Object Nieuwpoort-Bad
Nieuwpoort-Bad is the seaside resort and coastal district of the Belgian city of Nieuwpoort, known for its beaches, promenade, and tourism.
 E550362 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: Nieuwpoort-Bad | Statement: [Nieuwpoort, hasPart, Nieuwpoort-Bad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nieuwpoort-Bad
Context triple: [Nieuwpoort, hasPart, Nieuwpoort-Bad]
  • A. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • D. Lewedorp
    Lewedorp is a small village in the Dutch province of Zeeland, located on the former island of Zuid-Beveland.
  • E. Domburg
    Domburg is a coastal resort town and one of the oldest seaside destinations in the Dutch province of Zeeland.
  • 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: Nieuwpoort-Bad
Triple: [Nieuwpoort, hasPart, Nieuwpoort-Bad]
Generated description
Nieuwpoort-Bad is the seaside resort and coastal district of the Belgian city of Nieuwpoort, known for its beaches, promenade, and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nieuwpoort-Bad
Target entity description: Nieuwpoort-Bad is the seaside resort and coastal district of the Belgian city of Nieuwpoort, known for its beaches, promenade, and tourism.
  • A. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • D. Lewedorp
    Lewedorp is a small village in the Dutch province of Zeeland, located on the former island of Zuid-Beveland.
  • E. Domburg
    Domburg is a coastal resort town and one of the oldest seaside destinations in the Dutch province of Zeeland.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03588dd8c81909491350140ea340e completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c70754819089081fc440ed841e completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a258fa208190a06b457e7856c338 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a310d2d08190a8dab95f9eef2815 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:56 p.m.