Triple

T8003148
Position Surface form Disambiguated ID Type / Status
Subject Christian X of Denmark E186299 entity
Predicate birthPlace P1 FINISHED
Object Charlottenlund E546438 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: Charlottenlund | Statement: [Christian X of Denmark, birthPlace, Charlottenlund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlottenlund
Context triple: [Christian X of Denmark, birthPlace, Charlottenlund]
  • A. Charlottenlund chosen
    Charlottenlund is a suburban district north of central Copenhagen, Denmark, known for its affluent residential areas, coastal location, and historic royal palace and park.
  • B. Hornbæk
    Hornbæk is a coastal town in northern Zealand, Denmark, known for its sandy beaches, holiday villas, and role as a popular seaside resort.
  • C. Hillerød
    Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
  • D. Glostrup
    Glostrup is a suburban town and municipality in the Copenhagen metropolitan area of Denmark, known for its residential neighborhoods and commercial districts.
  • E. Ringsted
    Ringsted is a historic market town and transport hub located in the central part of the Danish island of Zealand.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf443e48190ac9e83343ff4019e completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.