Triple

T10442144
Position Surface form Disambiguated ID Type / Status
Subject Fichtel Mountains E246194 entity
Predicate hasPeak P8205 FINISHED
Object Kösseine
Kösseine is a prominent granite mountain in northeastern Bavaria, Germany, known for its scenic views and hiking trails within the Fichtel Mountains.
 E864069 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: Kösseine | Statement: [Fichtel Mountains, hasPeak, Kösseine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kösseine
Context triple: [Fichtel Mountains, hasPeak, Kösseine]
  • A. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • B. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • C. Kehre
    Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
  • D. Kouloukonas
    Kouloukonas is a mountain range in the Rethymno region of Crete, Greece, known for its rugged terrain and traditional Cretan landscapes.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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: Kösseine
Triple: [Fichtel Mountains, hasPeak, Kösseine]
Generated description
Kösseine is a prominent granite mountain in northeastern Bavaria, Germany, known for its scenic views and hiking trails within the Fichtel Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kösseine
Target entity description: Kösseine is a prominent granite mountain in northeastern Bavaria, Germany, known for its scenic views and hiking trails within the Fichtel Mountains.
  • A. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • B. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • C. Kehre
    Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
  • D. Kouloukonas
    Kouloukonas is a mountain range in the Rethymno region of Crete, Greece, known for its rugged terrain and traditional Cretan landscapes.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:15 p.m.