Triple

T7546911
Position Surface form Disambiguated ID Type / Status
Subject Westeinderplassen E178427 entity
Predicate locatedNear P294 FINISHED
Object Kudelstaart
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
 E671537 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: Kudelstaart | Statement: [Westeinderplassen, locatedNear, Kudelstaart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kudelstaart
Context triple: [Westeinderplassen, locatedNear, Kudelstaart]
  • A. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • B. Kikapú
    Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
  • C. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • D. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • E. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • 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: Kudelstaart
Triple: [Westeinderplassen, locatedNear, Kudelstaart]
Generated description
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kudelstaart
Target entity description: Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
  • A. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • B. Kikapú
    Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
  • C. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • D. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • E. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c852a8c630819080493932adb5ad40 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c8530069e88190af6abcfddb924f38 completed March 28, 2026, 10:15 p.m.
Created at: March 27, 2026, 3:49 p.m.