Triple

T6649607
Position Surface form Disambiguated ID Type / Status
Subject Exor N.V. E150785 entity
Predicate notableBrandAssociation P10460 FINISHED
Object Jeep E28729 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: Jeep | Statement: [Exor N.V., notableBrandAssociation, Jeep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeep
Context triple: [Exor N.V., notableBrandAssociation, Jeep]
  • A. Jeep chosen
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • B. Jeep Wrangler
    The Jeep Wrangler is an iconic American off-road SUV known for its rugged capability, removable doors and roof, and strong association with adventure driving.
  • C. Kaiser Jeep
    Kaiser Jeep was an American automobile manufacturer best known for producing civilian and military Jeep vehicles before its assets led to the formation of AM General.
  • D. Jeep Grand Cherokee
    The Jeep Grand Cherokee is a mid-size SUV known for combining upscale comfort with strong off-road capability and towing performance.
  • E. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef91eb08190a00ae027c21b08bf completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.