Triple

T17742609
Position Surface form Disambiguated ID Type / Status
Subject Holden Racing Team E442899 entity
Predicate primarySponsor P1807 FINISHED
Object Mobil NE NERFINISHED

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: Mobil | Statement: [Holden Racing Team, primarySponsor, Mobil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobil
Context triple: [Holden Racing Team, primarySponsor, Mobil]
  • A. Mobil chosen
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • B. Benz
    Benz is a German surname most famously associated with automotive pioneer Karl Benz and the Mercedes-Benz brand.
  • C. Fordon
    Fordon is a large residential and industrial district of Bydgoszcz in northern Poland, known for its post-war housing estates and location along the Vistula River.
  • D. Merces
    Merces is a village in the Tiswadi taluka of North Goa, India, known for its residential neighborhoods and proximity to the state capital, Panaji.
  • E. Totota
    Totota is a town located in Bong County in central Liberia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ace58988190b927ca29af7a8b77 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.