Triple

T7982501
Position Surface form Disambiguated ID Type / Status
Subject Macron Stadium E185604 entity
Predicate sponsor P67 FINISHED
Object Toughsheet
Toughsheet is a British manufacturer of recycled building and roofing materials known for its commercial sponsorships in sports.
 E702129 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: Toughsheet | Statement: [Macron Stadium, sponsor, Toughsheet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toughsheet
Context triple: [Macron Stadium, sponsor, Toughsheet]
  • A. The Tackle
    The Tackle is the famous game-saving stop by Tennessee Titans linebacker Mike Jones at the one-yard line on the final play of Super Bowl XXXIV, preserving the St. Louis Rams' championship.
  • B. Planken
    Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
  • C. Gant
    Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
  • D. Gant
    Gant is a locality in the Swiss Alps situated close to the Findel Glacier, known as a starting point for alpine hiking and mountaineering routes.
  • E. Black Sticks
    The Black Sticks are the nickname for New Zealand’s national field hockey teams, encompassing both the men’s and women’s sides that compete at major international tournaments such as the Olympics and World Cup.
  • 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: Toughsheet
Triple: [Macron Stadium, sponsor, Toughsheet]
Generated description
Toughsheet is a British manufacturer of recycled building and roofing materials known for its commercial sponsorships in sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toughsheet
Target entity description: Toughsheet is a British manufacturer of recycled building and roofing materials known for its commercial sponsorships in sports.
  • A. The Tackle
    The Tackle is the famous game-saving stop by Tennessee Titans linebacker Mike Jones at the one-yard line on the final play of Super Bowl XXXIV, preserving the St. Louis Rams' championship.
  • B. Planken
    Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
  • C. Gant
    Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
  • D. Gant
    Gant is a locality in the Swiss Alps situated close to the Findel Glacier, known as a starting point for alpine hiking and mountaineering routes.
  • E. Black Sticks
    The Black Sticks are the nickname for New Zealand’s national field hockey teams, encompassing both the men’s and women’s sides that compete at major international tournaments such as the Olympics and World Cup.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2a1aa881909c3cea280dff38f5 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0dab8188190b99e1c13bec61b87 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43e47048190a0044477f88de5d0 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0d60254c819087d1de7ca6ea554b completed March 31, 2026, 6:07 p.m.
Created at: March 30, 2026, 5:15 p.m.