Triple

T14873367
Position Surface form Disambiguated ID Type / Status
Subject Putten E349805 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Barneveld E426985 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: Barneveld | Statement: [Putten, hasNeighboringMunicipality, Barneveld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barneveld
Context triple: [Putten, hasNeighboringMunicipality, Barneveld]
  • A. Barneveld chosen
    Barneveld is a municipality and town in the Dutch province of Gelderland, known for its poultry industry and central location in the Netherlands.
  • B. Bredevoort
    Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
  • C. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • D. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • E. Enkhuizen
    Enkhuizen is a historic port town in the Dutch province of North Holland, known for its maritime heritage and well-preserved old center on the IJsselmeer.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e2c94c8190a16f05ea81701fc1 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5101a48190937a86b6eda79c55 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.