Triple

T10587225
Position Surface form Disambiguated ID Type / Status
Subject Kulmbach district E249884 entity
Predicate hasMunicipality P847 FINISHED
Object Grafengehaig
Grafengehaig is a small rural municipality in the Kulmbach district of northern Bavaria, Germany.
E872641 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: Grafengehaig | Statement: [Kulmbach district, hasMunicipality, Grafengehaig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafengehaig
Context triple: [Kulmbach district, hasMunicipality, Grafengehaig]
  • A. Grafh
    Grafh is an American rapper from Queens, New York, known for his gritty lyricism and work in the underground hip-hop scene.
  • B. Graf
    Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
  • C. Wildgraf
    Wildgraf is a historical German noble title denoting a count with jurisdiction over a wild or forested territory.
  • D. Gráfelli
    Gráfelli is one of the highest and most prominent mountains on the Faroe Islands, located on the island of Eysturoy.
  • E. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • 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: Grafengehaig
Triple: [Kulmbach district, hasMunicipality, Grafengehaig]
Generated description
Grafengehaig is a small rural municipality in the Kulmbach district of northern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grafengehaig
Target entity description: Grafengehaig is a small rural municipality in the Kulmbach district of northern Bavaria, Germany.
  • A. Grafh
    Grafh is an American rapper from Queens, New York, known for his gritty lyricism and work in the underground hip-hop scene.
  • B. Graf
    Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
  • C. Wildgraf
    Wildgraf is a historical German noble title denoting a count with jurisdiction over a wild or forested territory.
  • D. Gráfelli
    Gráfelli is one of the highest and most prominent mountains on the Faroe Islands, located on the island of Eysturoy.
  • E. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5276b0ae48190b2935230363239e0 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b8b1b708190865e428128f98720 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d68f39c8190bc7ea90237a5bf5f completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d9522d68b88190a63acb6d657168b4 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.