Triple

T1811153
Position Surface form Disambiguated ID Type / Status
Subject Nieuw-Vennep E40333 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Getsewoud
Getsewoud is a residential neighborhood in the town of Nieuw-Vennep in the Dutch province of North Holland.
E202516 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: Getsewoud | Statement: [Nieuw-Vennep, hasNeighbourhood, Getsewoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getsewoud
Context triple: [Nieuw-Vennep, hasNeighbourhood, Getsewoud]
  • A. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Griqualand West
    Griqualand West was a 19th-century British colonial territory in southern Africa, centered on the diamond-rich area around Kimberley.
  • D. Mwotlap
    Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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: Getsewoud
Triple: [Nieuw-Vennep, hasNeighbourhood, Getsewoud]
Generated description
Getsewoud is a residential neighborhood in the town of Nieuw-Vennep in the Dutch province of North Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Getsewoud
Target entity description: Getsewoud is a residential neighborhood in the town of Nieuw-Vennep in the Dutch province of North Holland.
  • A. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Griqualand West
    Griqualand West was a 19th-century British colonial territory in southern Africa, centered on the diamond-rich area around Kimberley.
  • D. Mwotlap
    Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c64bc08190b993216890752b46 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e352d88190839cde25e3c07d95 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb8b6d160819096dc02323049101d completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9bafd688190a66a835c6a8163e3 completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.