Triple

T7774199
Position Surface form Disambiguated ID Type / Status
Subject Willem van Ruytenburch E179149 entity
Predicate placeOfActivity P1527 FINISHED
Object Amsterdam E989 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: Amsterdam | Statement: [Willem van Ruytenburch, placeOfActivity, Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam
Context triple: [Willem van Ruytenburch, placeOfActivity, 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. Rotterdam
    Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
  • C. 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.
  • D. Osdorp
    Osdorp is a residential neighborhood in the western part of Amsterdam, Netherlands, known for its post-war urban planning and multicultural population.
  • E. The Hague
    The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70461b3e48190bf1e4d4f9e6bb08e completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb59a7732c819095aa0903d419b740 completed March 31, 2026, 5:20 a.m.
Created at: March 27, 2026, 4:11 p.m.