Triple

T14186645
Position Surface form Disambiguated ID Type / Status
Subject Binnenmaas E351594 entity
Predicate hasPart P35 FINISHED
Object Blaaksedijk
Blaaksedijk is a small village in the Dutch province of South Holland, known for its rural character and location within the Hoeksche Waard region.
E1104350 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: Blaaksedijk | Statement: [Binnenmaas, hasPart, Blaaksedijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blaaksedijk
Context triple: [Binnenmaas, hasPart, Blaaksedijk]
  • A. Kneuterdijk
    Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
  • B. Schoorl
    Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
  • C. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • D. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • E. Oosterhoek
    Oosterhoek is a historical region in the province of Groningen in the northeastern Netherlands.
  • 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: Blaaksedijk
Triple: [Binnenmaas, hasPart, Blaaksedijk]
Generated description
Blaaksedijk is a small village in the Dutch province of South Holland, known for its rural character and location within the Hoeksche Waard region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blaaksedijk
Target entity description: Blaaksedijk is a small village in the Dutch province of South Holland, known for its rural character and location within the Hoeksche Waard region.
  • A. Kneuterdijk
    Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
  • B. Schoorl
    Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
  • C. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • D. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • E. Oosterhoek
    Oosterhoek is a historical region in the province of Groningen in the northeastern Netherlands.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2fdd7c8190b2ebf5a18c8039f2 completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7b7f7b1c8190b38c5912920e2d9b completed May 8, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69fd7be778dc81908b0602bab944330a completed May 8, 2026, 6 a.m.
Created at: April 10, 2026, 1:03 a.m.