Triple

T18583536
Position Surface form Disambiguated ID Type / Status
Subject Plein (square in The Hague) E454179 entity
Predicate near P350 FINISHED
Object Lange Poten 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: Lange Poten | Statement: [Plein (square in The Hague), near, Lange Poten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lange Poten
Context triple: [Plein (square in The Hague), near, Lange Poten]
  • A. Lange Poten chosen
    Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
  • B. Langebrug
    Langebrug is a historic bridge spanning the Spaarne River in the Dutch city of Haarlem.
  • C. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • D. Langeid
    Langeid is a small village in Bygland municipality in Agder county, southern Norway.
  • E. Lentegeur
    Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d200dc8190b8797d731f4e4865 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.