Triple

T13290805
Position Surface form Disambiguated ID Type / Status
Subject 2014 Formula One season E316554 entity
Predicate team P3756 FINISHED
Object Force India E384137 NE FINISHED

How this triple was built (2 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: Force India | Statement: [2014 Formula One season, team, Force India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Force India
Context triple: [2014 Formula One season, team, Force India]
  • A. Force India Formula One Team chosen
    Force India Formula One Team was a Formula One constructor and racing team that competed from 2008 to 2018, known for its strong midfield performances under Indian ownership and branding.
  • B. Haas F1 Team
    Haas F1 Team is an American-owned Formula One racing team that competes in the FIA Formula One World Championship.
  • C. Red Bull Racing
    Red Bull Racing is a leading Formula One team known for its multiple World Championships, innovative car design, and high-profile drivers.
  • D. Jaguar Racing
    Jaguar Racing was a British Formula One team and motorsport outfit that competed in F1 in the early 2000s as the works team of the Jaguar automotive brand.
  • E. Lotus F1 Team
    Lotus F1 Team was a British Formula One constructor and racing team that competed in the FIA Formula One World Championship in the early 2010s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99077a8f48190b1163448a3a978a2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.