Triple

T16961477
Position Surface form Disambiguated ID Type / Status
Subject Playmobil-Stadion E411439 entity
Predicate hasFormerName P65 FINISHED
Object Ronhof
Ronhof is the traditional football ground in Fürth, Germany, historically known as the home stadium of SpVgg Greuther Fürth.
 E1243716 NE FINISHED

How this triple was built (4 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: Ronhof | Statement: [Playmobil-Stadion, hasFormerName, Ronhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ronhof
Context triple: [Playmobil-Stadion, hasFormerName, Ronhof]
  • A. Reeshof
    Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
  • B. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Niendorf
    Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
  • D. Hövelhof
    Hövelhof is a municipality in the district of Paderborn in North Rhine-Westphalia, Germany, known for its location near the source of the river Ems and the Senne heath landscape.
  • E. Harskamp
    Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ronhof
Triple: [Playmobil-Stadion, hasFormerName, Ronhof]
Generated description
Ronhof is the traditional football ground in Fürth, Germany, historically known as the home stadium of SpVgg Greuther Fürth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ronhof
Target entity description: Ronhof is the traditional football ground in Fürth, Germany, historically known as the home stadium of SpVgg Greuther Fürth.
  • A. Reeshof
    Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
  • B. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Niendorf
    Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
  • D. Hövelhof
    Hövelhof is a municipality in the district of Paderborn in North Rhine-Westphalia, Germany, known for its location near the source of the river Ems and the Senne heath landscape.
  • E. Harskamp
    Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
  • F. None of above. chosen

Provenance (5 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.