Triple

T2026217
Position Surface form Disambiguated ID Type / Status
Subject Jacobus Herculaas de la Rey E44413 entity
Predicate nickname P55 FINISHED
Object Koos E42621 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: Koos | Statement: [Jacobus Herculaas de la Rey, nickname, Koos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koos
Context triple: [Jacobus Herculaas de la Rey, nickname, Koos]
  • A. Koos chosen
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • B. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • C. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • D. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • E. Korte Niezel
    Korte Niezel is a narrow street in Amsterdam’s historic city center, located in the Red Light District near the Oudezijds Voorburgwal canal.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afc9e3c8190a045ef1c987c4141 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.