Triple

T15842235
Position Surface form Disambiguated ID Type / Status
Subject Circuit de Barcelona-Catalunya E384126 entity
Predicate hasCorner P42380 FINISHED
Object New Holland
New Holland is a named corner on the Circuit de Barcelona-Catalunya, a prominent motorsport racetrack in Spain.
 E1180577 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: New Holland | Statement: [Circuit de Barcelona-Catalunya, hasCorner, New Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New Holland
Context triple: [Circuit de Barcelona-Catalunya, hasCorner, New Holland]
  • A. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • B. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • C. Claas
    Claas is a given name and surname of Germanic origin, used as a variant of names like Claes or Klaus.
  • D. Steyr Tractor
    Steyr Tractor is an Austrian agricultural machinery brand known for producing high-quality tractors, historically linked to the former industrial conglomerate Steyr-Daimler-Puch.
  • E. Massey-Ferguson
    Massey-Ferguson is a major agricultural machinery manufacturer best known for its tractors and farm equipment used worldwide.
  • 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: New Holland
Triple: [Circuit de Barcelona-Catalunya, hasCorner, New Holland]
Generated description
New Holland is a named corner on the Circuit de Barcelona-Catalunya, a prominent motorsport racetrack in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: New Holland
Target entity description: New Holland is a named corner on the Circuit de Barcelona-Catalunya, a prominent motorsport racetrack in Spain.
  • A. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • B. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • C. Claas
    Claas is a given name and surname of Germanic origin, used as a variant of names like Claes or Klaus.
  • D. Steyr Tractor
    Steyr Tractor is an Austrian agricultural machinery brand known for producing high-quality tractors, historically linked to the former industrial conglomerate Steyr-Daimler-Puch.
  • E. Massey-Ferguson
    Massey-Ferguson is a major agricultural machinery manufacturer best known for its tractors and farm equipment used worldwide.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13eab4881908794104508ba53af completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:50 a.m.