Triple

T5842206
Position Surface form Disambiguated ID Type / Status
Subject TecDAX E129619 entity
Predicate replaced P101 FINISHED
Object Nemax 50
Nemax 50 was a former German stock market index that tracked the 50 largest companies listed on the Neuer Markt, Germany’s now-defunct growth and technology segment.
E549683 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: Nemax 50 | Statement: [TecDAX, replaced, Nemax 50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nemax 50
Context triple: [TecDAX, replaced, Nemax 50]
  • A. EI Maxx
    EI Maxx was a Latin American sports television channel that later became part of the TNT Sports brand.
  • B. MAXI
    MAXI is an X-ray astronomy mission that continuously monitors the sky for high-energy phenomena such as black hole outbursts, neutron star activity, and other transient cosmic events.
  • C. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • D. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • E. Maxwell Model L
    The Maxwell Model L was an early 20th-century passenger car produced by the Maxwell Motor Company, known as one of the brand’s representative pre-World War I models.
  • 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: Nemax 50
Triple: [TecDAX, replaced, Nemax 50]
Generated description
Nemax 50 was a former German stock market index that tracked the 50 largest companies listed on the Neuer Markt, Germany’s now-defunct growth and technology segment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nemax 50
Target entity description: Nemax 50 was a former German stock market index that tracked the 50 largest companies listed on the Neuer Markt, Germany’s now-defunct growth and technology segment.
  • A. EI Maxx
    EI Maxx was a Latin American sports television channel that later became part of the TNT Sports brand.
  • B. MAXI
    MAXI is an X-ray astronomy mission that continuously monitors the sky for high-energy phenomena such as black hole outbursts, neutron star activity, and other transient cosmic events.
  • C. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • D. Neox
    Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
  • E. Maxwell Model L
    The Maxwell Model L was an early 20th-century passenger car produced by the Maxwell Motor Company, known as one of the brand’s representative pre-World War I models.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d876fc819089818c731116af56 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a2506481908a3e638c1121bfd0 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:54 p.m.