Triple

T10988266
Position Surface form Disambiguated ID Type / Status
Subject Rhön-Grabfeld E259686 entity
Predicate borderedBy P224 FINISHED
Object Fulda (district) E652999 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: Fulda (district) | Statement: [Rhön-Grabfeld, borderedBy, Fulda (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fulda (district)
Context triple: [Rhön-Grabfeld, borderedBy, Fulda (district)]
  • A. Fulda district chosen
    Fulda district is a rural administrative district (Landkreis) in eastern Hesse, Germany, centered around the city of Fulda and known for its historical sites and proximity to the Rhön Mountains.
  • B. Fulda
    Fulda is a major river in central Germany that flows through the state of Hesse and joins the Werra to form the Weser.
  • C. Fulda
    Fulda is a historic city in central Germany known for its Baroque architecture and former status as an important monastic and ecclesiastical center.
  • D. Rotenburg an der Fulda
    Rotenburg an der Fulda is a historic small town in northeastern Hesse, Germany, situated along the Fulda River and known for its well-preserved half-timbered architecture.
  • E. Giessen district
    Giessen district is an administrative district in the German state of Hesse, centered around the city of Gießen and known for its mix of urban areas, universities, and rural landscapes.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374639f1481908ea372b81a834f6f completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.