Triple

T3472556
Position Surface form Disambiguated ID Type / Status
Subject Walcheren E73296 entity
Predicate contains P35 FINISHED
Object Domburg
Domburg is a coastal resort town and one of the oldest seaside destinations in the Dutch province of Zeeland.
 E361424 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: Domburg | Statement: [Walcheren, contains, Domburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Domburg
Context triple: [Walcheren, contains, Domburg]
  • A. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • D. Terneuzen
    Terneuzen is a port city and municipality in the southwestern Netherlands, known for its location on the Western Scheldt and its role in shipping access to the port of Ghent.
  • E. Delfzijl
    Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
  • 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: Domburg
Triple: [Walcheren, contains, Domburg]
Generated description
Domburg is a coastal resort town and one of the oldest seaside destinations in the Dutch province of Zeeland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Domburg
Target entity description: Domburg is a coastal resort town and one of the oldest seaside destinations in the Dutch province of Zeeland.
  • A. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • D. Terneuzen
    Terneuzen is a port city and municipality in the southwestern Netherlands, known for its location on the Western Scheldt and its role in shipping access to the port of Ghent.
  • E. Delfzijl
    Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36810958c81908982e0ef996dc480 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b4e504819094ca0adbdbe7bfd9 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693a8d6481909dadce4ac6109ff3 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.