Triple

T13543905
Position Surface form Disambiguated ID Type / Status
Subject Soest E323462 entity
Predicate hasSettlement P1068 FINISHED
Object Soestdijk E244592 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: Soestdijk | Statement: [Soest, hasSettlement, Soestdijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soestdijk
Context triple: [Soest, hasSettlement, Soestdijk]
  • A. Soestdijk chosen
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • B. Land van Heusden
    Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
  • C. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • D. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • E. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3d860c8190a166666a20971de7 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:45 p.m.