Triple

T6688821
Position Surface form Disambiguated ID Type / Status
Subject Jeep Cherokee (XJ) E152171 entity
Predicate manufacturer P490 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: [Jeep Cherokee (XJ), manufacturer, Jeep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeep
Context triple: [Jeep Cherokee (XJ), manufacturer, 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14feb28819097bc157df8a2f96e completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b31fa0819089c4debbbbce9d22 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:04 p.m.