Triple

T3753302
Position Surface form Disambiguated ID Type / Status
Subject Nieuwkoop E81382 entity
Predicate hasSettlement P1068 FINISHED
Object Ter Aar
Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
 E385488 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: Ter Aar | Statement: [Nieuwkoop, hasSettlement, Ter Aar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ter Aar
Context triple: [Nieuwkoop, hasSettlement, Ter Aar]
  • A. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • D. Baabda
    Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
  • E. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • 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: Ter Aar
Triple: [Nieuwkoop, hasSettlement, Ter Aar]
Generated description
Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ter Aar
Target entity description: Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
  • A. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • D. Baabda
    Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
  • E. Aro
    Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5044f3c8190969828966b37e729 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e587f8588190bf3a1c744433619b completed March 14, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69b4e61dc8bc81909b683e54cd4ca2f6 completed March 14, 2026, 4:37 a.m.
Created at: March 8, 2026, 3:35 p.m.