Triple

T10037318
Position Surface form Disambiguated ID Type / Status
Subject Chicago Assembly E205202 entity
Predicate producedModel P45160 FINISHED
Object Ford Edge E150113 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 Edge | Statement: [Chicago Assembly, producedModel, Ford Edge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Edge
Context triple: [Chicago Assembly, producedModel, Ford Edge]
  • A. Ford Edge (crossover era) chosen
    The Ford Edge (crossover era) is a mid-size, car-based SUV positioned as a family-oriented crossover offering a blend of comfort, practicality, and modern features.
  • B. Ford Flex
    The Ford Flex is a boxy, three-row crossover SUV/wagon produced by Ford from 2008 to 2019, known for its distinctive styling and spacious, family-oriented interior.
  • C. 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.
  • D. Mitsubishi Outlander
    The Mitsubishi Outlander is a compact crossover SUV known for its family-friendly practicality, available three-row seating, and plug-in hybrid variant.
  • E. Mazda CX-9
    The Mazda CX-9 is a mid-size three-row crossover SUV known for its stylish design, upscale interior, and engaging driving dynamics.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcede428c8190ae115dc3425f9b0e completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282608d688190832c37442f53099a completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.