Triple

T16707682
Position Surface form Disambiguated ID Type / Status
Subject Aert de Gelder E406013 entity
Predicate apprenticeshipLocation P124312 FINISHED
Object Amsterdam E989 NE FINISHED

How this triple was built (3 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: Amsterdam | Statement: [Aert de Gelder, apprenticeshipLocation, Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam
Context triple: [Aert de Gelder, apprenticeshipLocation, Amsterdam]
  • A. Amsterdam chosen
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • B. Amsterdam
    Amsterdam is a Booker Prize–winning novel by British author Ian McEwan that explores moral compromise and revenge through the intertwined lives of two old friends.
  • C. Amsterdam
    Amsterdam is a historic city in upstate New York located along the Mohawk River, known for its former textile industry and canal-era heritage.
  • D. Rotterdam
    Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
  • E. Haarlem
    Haarlem is a historic Dutch city in the province of North Holland, known for its medieval architecture, cultural heritage, and role as a regional center near Amsterdam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: apprenticeshipLocation
Context triple: [Aert de Gelder, apprenticeshipLocation, Amsterdam]
  • A. recruitmentLocation
    Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
  • B. trainingFacilityLocation
    Indicates the place or site where a training facility is situated or operates.
  • C. studCareerLocation
    Indicates the place where a student's academic or professional career activities occur or are based.
  • D. commissionedWorkLocation
    Indicates the place where a commissioned work is created, produced, or carried out.
  • E. locationOfEstablishment
    Indicates the place or area where an establishment is situated or operates.
  • F. None of above. chosen

Provenance (5 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38337ecac8190bc4a9410ed7681ab completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50edea48190b65f4e6a9eb3ba24 completed May 10, 2026, 3:32 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326b9e84881909a9166e65bd850d6 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:19 a.m.