Triple

T13684178
Position Surface form Disambiguated ID Type / Status
Subject Woudenberg E328078 entity
Predicate sharesBorderWith P224 FINISHED
Object Renswoude E416817 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: Renswoude | Statement: [Woudenberg, sharesBorderWith, Renswoude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renswoude
Context triple: [Woudenberg, sharesBorderWith, Renswoude]
  • A. Renswoude chosen
    Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
  • B. Rijnsaterwoude
    Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
  • C. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • D. Oostzanerveld
    Oostzanerveld is a Dutch peat meadow and wetland nature reserve known for its open landscapes, waterways, and rich birdlife near Landsmeer in North Holland.
  • E. Roderwolde
    Roderwolde is a small rural village in the Dutch province of Drenthe, known for its historic church and traditional countryside landscape.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0db310c81909c22507f9a3e7dee completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:53 p.m.