Triple

T565188
Position Surface form Disambiguated ID Type / Status
Subject South Holland E13536 entity
Predicate containsCity P294 FINISHED
Object Abbenbroek
Abbenbroek is a small village in the Dutch province of South Holland, known for its rural character and historic church.
 E227871 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: Abbenbroek | Statement: [South Holland, containsCity, Abbenbroek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abbenbroek
Context triple: [South Holland, containsCity, Abbenbroek]
  • A. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • B. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • C. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • D. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • E. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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: Abbenbroek
Triple: [South Holland, containsCity, Abbenbroek]
Generated description
Abbenbroek is a small village in the Dutch province of South Holland, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abbenbroek
Target entity description: Abbenbroek is a small village in the Dutch province of South Holland, known for its rural character and historic church.
  • A. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • B. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • C. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • D. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • E. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1f9546fc8190beee0f8b8810fe4b completed March 9, 2026, 1:17 a.m.
NEDg Description generation batch_69ae2027b4588190bb8cff4a52d58626 completed March 9, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae20e214a88190b85432b9e47cde12 completed March 9, 2026, 1:22 a.m.
Created at: March 1, 2026, 7:32 p.m.