Triple

T11956467
Position Surface form Disambiguated ID Type / Status
Subject Williams Grand Prix Engineering E284565 entity
Predicate titleSponsor P24881 FINISHED
Object Winfield E72419 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: Winfield | Statement: [Williams Grand Prix Engineering, titleSponsor, Winfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winfield
Context triple: [Williams Grand Prix Engineering, titleSponsor, Winfield]
  • A. Winfield chosen
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Winfield
    Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
  • C. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • D. Lawrence
    Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • E. Lawrence
    Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.