Triple

T4055155
Position Surface form Disambiguated ID Type / Status
Subject Twents E84675 entity
Predicate hasDialect P4251 FINISHED
Object Oldenzaals E242770 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: Oldenzaals | Statement: [Twents, hasDialect, Oldenzaals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldenzaals
Context triple: [Twents, hasDialect, Oldenzaals]
  • A. Oldenzaal chosen
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • B. Oldehove
    Oldehove is a village in the Dutch province of Groningen, known for its rural character and historic church.
  • C. Elsenz
    The Elsenz is a river in southwestern Germany that flows through the Kraichgau region before joining the Neckar.
  • D. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • E. Nieuwolda
    Nieuwolda is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbabec608190a35d39d3d03b928b completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a0f19c819084d23c3802ce8ca6 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.