Triple

T12406290
Position Surface form Disambiguated ID Type / Status
Subject Bovenden E296395 entity
Predicate hasMunicipalPart P84684 FINISHED
Object Bovenden (village) E296395 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: Bovenden (village) | Statement: [Bovenden, hasMunicipalPart, Bovenden (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovenden (village)
Context triple: [Bovenden, hasMunicipalPart, Bovenden (village)]
  • A. Bovenden chosen
    Bovenden is a municipality in Lower Saxony, Germany, situated just north of the city of Göttingen.
  • B. Bena village
    Bena village is a traditional Ngada settlement in Flores, Indonesia, renowned for its well-preserved megalithic structures, ancestral houses, and living indigenous culture.
  • C. village of Klazienaveen
    The village of Klazienaveen is a settlement in the municipality of Emmen in the province of Drenthe in the northeastern Netherlands.
  • D. Veenhuizen
    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.
  • E. Bunschoten
    Bunschoten is a Dutch town and municipality known for its traditional fishing heritage and historic village character in the central Netherlands.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.