Triple

T18072199
Position Surface form Disambiguated ID Type / Status
Subject Hochschule Bonn-Rhein-Sieg E432457 entity
Predicate hasCampusIn P4623 FINISHED
Object Rheinbach 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: Rheinbach | Statement: [Hochschule Bonn-Rhein-Sieg, hasCampusIn, Rheinbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rheinbach
Context triple: [Hochschule Bonn-Rhein-Sieg, hasCampusIn, Rheinbach]
  • A. Rheinbach chosen
    Rheinbach is a small town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its glassmaking tradition and historic town center.
  • B. Merriwa
    Merriwa is a rural town in New South Wales, Australia, known for its agricultural community and location within the Upper Hunter region.
  • C. Narara
    Narara is a residential suburb on the Central Coast of New South Wales, Australia, known for its family-friendly community and proximity to Gosford.
  • D. Murrumbucca
    Murrumbucca is a rural locality in the Snowy Monaro region of New South Wales, Australia.
  • E. Werriwa
    Werriwa is an Australian federal electoral division in southwestern Sydney, historically known as one of the country’s longest-standing Labor strongholds.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.