Triple

T4283893
Position Surface form Disambiguated ID Type / Status
Subject Molenlanden E97218 entity
Predicate hasSettlement P1068 FINISHED
Object Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
 E426804 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: Langerak | Statement: [Molenlanden, hasSettlement, Langerak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langerak
Context triple: [Molenlanden, hasSettlement, Langerak]
  • A. Staaken
    Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
  • B. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • C. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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: Langerak
Triple: [Molenlanden, hasSettlement, Langerak]
Generated description
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langerak
Target entity description: Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • A. Staaken
    Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
  • B. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • C. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c2023c8190a2359f8cabcecd2c completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b94471588190a27e7df972f072b1 completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5ba4262b481908378f7ebdc9a7c9c completed March 14, 2026, 7:42 p.m.
Created at: March 12, 2026, 11:07 p.m.