Triple

T21132000
Position Surface form Disambiguated ID Type / Status
Subject municipality of Oss E520709 entity
Predicate borderedBy P224 FINISHED
Object Maasdriel 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: Maasdriel | Statement: [municipality of Oss, borderedBy, Maasdriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maasdriel
Context triple: [municipality of Oss, borderedBy, Maasdriel]
  • A. Maasdriel chosen
    Maasdriel is a municipality in the province of Gelderland in the Netherlands, known for its rural landscape along the river Maas and its collection of small villages.
  • B. Mandark
    Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
  • C. Bavmorda
    Bavmorda is the primary villain and powerful sorceress queen in the fantasy film "Willow."
  • D. Aleshtar
    Aleshtar is a small city in western Iran known for its Kurdish and Luri population, agricultural economy, and location within the mountainous Lorestan region.
  • E. Draal
    Draal is a powerful troll warrior from the "Trollhunters: Tales of Arcadia" series who becomes a key mentor and protector to Jim Lake Jr.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235668e081909bd810016ba2dd8e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.