Triple

T98140
Position Surface form Disambiguated ID Type / Status
Subject Chevrolet Silverado E1978 entity
Predicate competitor P1375 FINISHED
Object Ram 1500 E7742 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: Ram 1500 | Statement: [Chevrolet Silverado, competitor, Ram 1500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram 1500
Context triple: [Chevrolet Silverado, competitor, Ram 1500]
  • A. Ford Explorer
    The Ford Explorer is a popular mid-size sport utility vehicle (SUV) known for its family-friendly design, versatility, and long-standing presence in the North American market.
  • B. Ford F-Series
    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.
  • C. Ford Mustang
    The Ford Mustang is an iconic American sports car known for its powerful performance, distinctive styling, and central role in popular car culture since the 1960s.
  • D. GMC Sierra chosen
    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. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24ff07d148190a59aee12c807659d completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d29e348190820f8a1ed207be2e completed Feb. 28, 2026, 8:14 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.