Triple

T6560709
Position Surface form Disambiguated ID Type / Status
Subject Krimpenerwaard E152574 entity
Predicate formedByMergerOf P77 FINISHED
Object Vlist
Vlist was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Krimpenerwaard.
 E600257 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: Vlist | Statement: [Krimpenerwaard, formedByMergerOf, Vlist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vlist
Context triple: [Krimpenerwaard, formedByMergerOf, Vlist]
  • A. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • C. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • D. Litas
    Litas is the former official currency of Lithuania, used before the country adopted the euro.
  • E. LisaList
    LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
  • 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: Vlist
Triple: [Krimpenerwaard, formedByMergerOf, Vlist]
Generated description
Vlist was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Krimpenerwaard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vlist
Target entity description: Vlist was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Krimpenerwaard.
  • A. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • C. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • D. Litas
    Litas is the former official currency of Lithuania, used before the country adopted the euro.
  • E. LisaList
    LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:52 p.m.