Triple

T3450567
Position Surface form Disambiguated ID Type / Status
Subject Zuid-Beveland E72782 entity
Predicate hasSettlement P1068 FINISHED
Object Krabbendijke
Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
E362886 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: Krabbendijke | Statement: [Zuid-Beveland, hasSettlement, Krabbendijke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krabbendijke
Context triple: [Zuid-Beveland, hasSettlement, Krabbendijke]
  • A. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • B. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • C. Kloetinge
    Kloetinge is a historic village in the Dutch province of Zeeland, known for its traditional architecture and rural character.
  • D. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • E. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • 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: Krabbendijke
Triple: [Zuid-Beveland, hasSettlement, Krabbendijke]
Generated description
Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krabbendijke
Target entity description: Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
  • A. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • B. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • C. Kloetinge
    Kloetinge is a historic village in the Dutch province of Zeeland, known for its traditional architecture and rural character.
  • D. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • E. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a7da208190a8a9ad5ede8d4f0f completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b374a7a4fc81909cb7e36502132d12 completed March 13, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b3755597d8819081375fab35b75369 completed March 13, 2026, 2:24 a.m.
Created at: March 8, 2026, 3:16 p.m.