Triple

T14056007
Position Surface form Disambiguated ID Type / Status
Subject Frederik’s Church E338220 entity
Predicate architect P184 FINISHED
Object Nicolai Eigtved E343797 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: Nicolai Eigtved | Statement: [Frederik’s Church, architect, Nicolai Eigtved]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolai Eigtved
Context triple: [Frederik’s Church, architect, Nicolai Eigtved]
  • A. Nicolai Eigtved chosen
    Nicolai Eigtved was an 18th-century Danish architect and master of the Rococo style, influential in shaping Copenhagen’s royal and urban architecture.
  • B. Vilhelm Dahlerup
    Vilhelm Dahlerup was a prominent 19th-century Danish architect known for his richly historicist style and major contributions to Copenhagen’s urban and cultural landmarks.
  • C. Oluf Rygh
    Oluf Rygh was a Norwegian archaeologist and historian renowned for his pioneering work in excavating Viking Age sites and advancing the study of Norway’s early history.
  • D. Niels Pagh Andersen
    Niels Pagh Andersen is a renowned Danish film editor known for his work on numerous acclaimed documentaries and feature films.
  • E. Vilhelm Thomsen
    Vilhelm Thomsen was a Danish linguist and philologist renowned for his pioneering work in comparative linguistics and the study of Turkic and Indo-European languages.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd466febb88190986eb8f033d29279 completed May 8, 2026, 2:12 a.m.
Created at: April 9, 2026, 10:20 p.m.