Triple

T15937409
Position Surface form Disambiguated ID Type / Status
Subject Colonies of Benevolence E386472 entity
Predicate hasPart P35 FINISHED
Object Veenhuizen E651966 NE FINISHED

How this triple was built (2 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: Veenhuizen | Statement: [Colonies of Benevolence, hasPart, Veenhuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veenhuizen
Context triple: [Colonies of Benevolence, hasPart, Veenhuizen]
  • A. Veenhuizen chosen
    Veenhuizen is a historic Dutch village in the province of Drenthe, best known for its former penal colonies and unique heritage as a 19th-century social reform experiment.
  • B. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of South Holland, known for its rural character and proximity to the city of Rotterdam.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Zeevang
    Zeevang is a rural municipality in North Holland, Netherlands, characterized by its polder landscapes and traditional Dutch villages within the greater Amsterdam region.
  • E. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff291a4308190bd5b45dfdb3a6b98 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:53 a.m.