Triple

T10441272
Position Surface form Disambiguated ID Type / Status
Subject Schleswig E246174 entity
Predicate hasLandmark P105 FINISHED
Object Gottorf Castle E475090 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: Gottorf Castle | Statement: [Schleswig, hasLandmark, Gottorf Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gottorf Castle
Context triple: [Schleswig, hasLandmark, Gottorf Castle]
  • A. Gottorf Castle chosen
    Gottorf Castle is a historic ducal residence in Schleswig, Germany, renowned as the former seat of the Dukes of Holstein-Gottorp and now a major cultural and museum complex.
  • B. Antvorskov Castle
    Antvorskov Castle was a significant royal residence and former monastic estate on Zealand in Denmark, historically associated with Danish kings including Frederick II.
  • C. Vordingborg Castle
    Vordingborg Castle is a historic medieval fortress in Denmark, closely associated with the royal power and military campaigns of King Valdemar II.
  • D. Egeskov Castle
    Egeskov Castle is a well-preserved Renaissance water castle in Denmark renowned for its historic architecture, gardens, and museum collections.
  • E. Nyborg Castle
    Nyborg Castle is a historic medieval fortress and former royal residence located in the town of Nyborg on the Danish island of Funen.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:15 p.m.