Triple

T15682903
Position Surface form Disambiguated ID Type / Status
Subject Leiden E377622 entity
Predicate celebrates P500 FINISHED
Object Leidens Ontzet E84215 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: Leidens Ontzet | Statement: [Leiden, celebrates, Leidens Ontzet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leidens Ontzet
Context triple: [Leiden, celebrates, Leidens Ontzet]
  • A. Leidens Ontzet chosen
    Leidens Ontzet is an annual festival in Leiden commemorating the city's 1574 liberation from the Spanish siege during the Eighty Years' War.
  • B. Raad van Verzet
    The Raad van Verzet was a Dutch resistance organization during World War II that coordinated underground activities against the German occupation.
  • C. Gronings Ontzet
    Gronings Ontzet is a Dutch historical commemoration marking the lifting of the 1672 siege of Groningen during the Franco-Dutch War.
  • D. Woerdense Verlaat
    Woerdense Verlaat is a small village in the Dutch province of South Holland, known for its rural character and location near waterways and polders.
  • E. De Oppresso Liber
    De Oppresso Liber is the Latin motto of the U.S. Army Special Forces, commonly translated as "To Free the Oppressed," reflecting their mission to support and liberate marginalized populations.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.