Triple

T15722055
Position Surface form Disambiguated ID Type / Status
Subject Suhl E381119 entity
Predicate locatedNear P294 FINISHED
Object Zella-Mehlis
Zella-Mehlis is a small town in the Thuringian Forest region of central Germany, known for its winter sports facilities and proximity to the city of Suhl.
 E1174447 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: Zella-Mehlis | Statement: [Suhl, locatedNear, Zella-Mehlis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zella-Mehlis
Context triple: [Suhl, locatedNear, Zella-Mehlis]
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • C. Thereza
    Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
  • D. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • E. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • 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: Zella-Mehlis
Triple: [Suhl, locatedNear, Zella-Mehlis]
Generated description
Zella-Mehlis is a small town in the Thuringian Forest region of central Germany, known for its winter sports facilities and proximity to the city of Suhl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zella-Mehlis
Target entity description: Zella-Mehlis is a small town in the Thuringian Forest region of central Germany, known for its winter sports facilities and proximity to the city of Suhl.
  • A. Melika
    Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • C. Thereza
    Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
  • D. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • E. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f464008190ae0e79f50b9b3eb3 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:45 a.m.