Triple

T13543906
Position Surface form Disambiguated ID Type / Status
Subject Soest E323462 entity
Predicate hasSettlement P1068 FINISHED
Object Soesterberg E118394 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: Soesterberg | Statement: [Soest, hasSettlement, Soesterberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soesterberg
Context triple: [Soest, hasSettlement, Soesterberg]
  • A. Soesterberg chosen
    Soesterberg is a village in the Dutch province of Utrecht known for its historic military air base and long-standing association with the Royal Netherlands Air Force.
  • B. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • C. Ooltgensplaat
    Ooltgensplaat is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its historic harbor and rural character.
  • D. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • E. Nijmegen Hunerberg
    Nijmegen Hunerberg is an archaeological site in the Dutch city of Nijmegen known for remains of the Roman military camp and settlement associated with Ulpia Noviomagus Batavorum.
  • 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_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.