Triple

T19560642
Position Surface form Disambiguated ID Type / Status
Subject Røyken E489438 entity
Predicate borderedBy P224 FINISHED
Object Lier 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: Lier | Statement: [Røyken, borderedBy, Lier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lier
Context triple: [Røyken, borderedBy, Lier]
  • A. Lier
    Lier is a historic Belgian city in the province of Antwerp, known for its picturesque medieval center, the Zimmer Tower, and its UNESCO-listed beguinage.
  • B. Lier chosen
    Lier is a municipality in Buskerud county, Norway, known for its agricultural landscapes and proximity to the city of Drammen.
  • C. Lierde
    Lierde is a small municipality in the Flemish province of East Flanders, Belgium, known for its rural character and rolling countryside.
  • D. De Lier
    De Lier is a town and former municipality in the Dutch province of South Holland, known for its greenhouse horticulture and incorporation into the municipality of Westland.
  • E. Kortrijk
    Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.