Triple

T22010801
Position Surface form Disambiguated ID Type / Status
Subject Mol E543566 entity
Predicate hasNeighbor P5707 FINISHED
Object Dessel 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: Dessel | Statement: [Mol, hasNeighbor, Dessel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dessel
Context triple: [Mol, hasNeighbor, Dessel]
  • A. Dessel chosen
    Dessel is a municipality in the Belgian province of Antwerp, known for its role in the nuclear industry and its rural, wooded surroundings.
  • B. Driel
    Driel is a village in the Dutch province of Gelderland, known for its strategic location on the Rhine and its role in World War II’s Operation Market Garden.
  • C. Dranouter
    Dranouter is a village in the municipality of Heuvelland in West Flanders, Belgium, known for its rural setting and annual folk music festival.
  • D. Ossenzijl
    Ossenzijl is a small village in the Dutch province of Overijssel, known as a gateway to the Weerribben-Wieden National Park and its extensive wetlands and waterways.
  • E. Heverlee
    Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.