Triple

T317700
Position Surface form Disambiguated ID Type / Status
Subject GMC Sierra E7742 entity
Predicate competitor P1375 FINISHED
Object Ford F-150 E8611 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: Ford F-150 | Statement: [GMC Sierra, competitor, Ford F-150]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford F-150
Context triple: [GMC Sierra, competitor, Ford F-150]
  • A. Ford F-Series chosen
    The Ford F-Series is a long-running line of full-size pickup trucks that has become one of the best-selling and most iconic vehicle ranges in automotive history.
  • B. Chevrolet Silverado
    The Chevrolet Silverado is a full-size pickup truck line known for its durability, towing capability, and popularity in the North American truck market.
  • C. Toyota Tundra
    The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
  • D. GMC Sierra
    The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
  • E. Chevrolet Suburban
    The Chevrolet Suburban is a full-size SUV known for its large passenger and cargo capacity, long production history, and popularity as a family and fleet vehicle in North America.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea67b7588190be394a56498758b6 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8b8d7d88190b43f7b6b0289445f completed March 1, 2026, 5:03 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.