Triple

T21701865
Position Surface form Disambiguated ID Type / Status
Subject Pieter Zeeman E535676 entity
Predicate placeOfBirth P1 FINISHED
Object Zonnemaire NE NERFINISHED

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: Zonnemaire | Statement: [Pieter Zeeman, placeOfBirth, Zonnemaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zonnemaire
Context triple: [Pieter Zeeman, placeOfBirth, Zonnemaire]
  • A. Zonnemaire chosen
    Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
  • B. Bredevoort
    Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
  • C. Zwaanendael
    Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
  • D. Brinkhorst
    Brinkhorst is the Dutch family name of Princess Laurentien of the Netherlands, associated with a prominent political and aristocratic lineage.
  • E. Harskamp
    Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b802e008190a68ec62b98512794 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.