Triple

T668864
Position Surface form Disambiguated ID Type / Status
Subject Tulip mania E12927 entity
Predicate mainLocation P3231 FINISHED
Object Haarlem E80096 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: Haarlem | Statement: [Tulip mania, mainLocation, Haarlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haarlem
Context triple: [Tulip mania, mainLocation, Haarlem]
  • A. Haarlem chosen
    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.
  • B. Utrecht
    Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
  • C. Nijmegen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • D. Rijswijk
    Rijswijk is a town in the western Netherlands, near The Hague, historically notable as the site where the 1697 Treaty of Rijswijk ended the Nine Years' War.
  • E. Amstelveen
    Amstelveen is a suburban municipality in the province of North Holland in the Netherlands, located just south of Amsterdam and known for its residential character and proximity to major cultural and economic centers.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffbe09881909b547a52a6b34c7f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69afb6573b108190a9d5a2053e7f3b8c completed March 10, 2026, 6:12 a.m.
Created at: March 1, 2026, 7:36 p.m.