Triple

T3311908
Position Surface form Disambiguated ID Type / Status
Subject Het Loo Palace E69591 entity
Predicate locatedIn P40 FINISHED
Object Apeldoorn E269415 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: Apeldoorn | Statement: [Het Loo Palace, locatedIn, Apeldoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apeldoorn
Context triple: [Het Loo Palace, locatedIn, Apeldoorn]
  • A. Apeldoorn chosen
    Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
  • B. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • C. Helmond
    Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
  • D. Hoorn
    Hoorn is a historic port city in the Netherlands known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
  • E. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eddf488190b7f05b3903b96d4b completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c99ba1bbdc81909269ac0a97caa91d completed March 29, 2026, 9:37 p.m.
Created at: March 8, 2026, 3:11 p.m.