Triple

T17053183
Position Surface form Disambiguated ID Type / Status
Subject Rijssen-Holten E413751 entity
Predicate borders P224 FINISHED
Object Lochem E607047 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: Lochem | Statement: [Rijssen-Holten, borders, Lochem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lochem
Context triple: [Rijssen-Holten, borders, Lochem]
  • A. Lochem chosen
    Lochem is a historic town and municipality in the Dutch province of Gelderland, known for its scenic countryside and location on the Twente Canal.
  • B. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • C. Alphen-Chaam
    Alphen-Chaam is a rural municipality in the southern Netherlands, known for its forests, agricultural landscape, and proximity to the Belgian border.
  • D. Schoonhoven
    Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
  • E. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f346f0819094a430a11e361bac completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.