Triple

T22016038
Position Surface form Disambiguated ID Type / Status
Subject Leiden region E543711 entity
Predicate hasPart P35 FINISHED
Object Voorschoten 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: Voorschoten | Statement: [Leiden region, hasPart, Voorschoten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voorschoten
Context triple: [Leiden region, hasPart, Voorschoten]
  • A. Voorschoten chosen
    Voorschoten is a town and municipality in the western Netherlands, situated between The Hague and Leiden and known for its residential character and historic village center.
  • B. Toekomsrus
    Toekomsrus is a township within the Rand West City Local Municipality in Gauteng, South Africa.
  • C. Uitweg
    Uitweg is a small village in the Dutch province of Utrecht, located within the municipality of Lopik.
  • D. Overloon
    Overloon is a village in the Dutch province of North Brabant, best known for its World War II history and the Overloon War Museum.
  • E. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a8a1388190b9e0c1795fe1183a completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.