Triple

T1299290
Position Surface form Disambiguated ID Type / Status
Subject Chrysler E27723 entity
Predicate hasDivision P35 FINISHED
Object Ram Trucks E17566 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 Trucks | Statement: [Chrysler, hasDivision, Ram Trucks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Trucks
Context triple: [Chrysler, hasDivision, Ram Trucks]
  • A. Ram Trucks chosen
    Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
  • B. Ram 3500
    The Ram 3500 is a heavy-duty full-size pickup truck known for its powerful towing and hauling capabilities, offered under the Ram Trucks brand.
  • C. Ram 2500
    The Ram 2500 is a heavy-duty full-size pickup truck known for its strong towing and hauling capabilities, offered by Ram Trucks for work and recreational use.
  • D. GM Truck and Coach
    GM Truck and Coach was General Motors’ division responsible for designing and manufacturing commercial trucks and transit buses, widely used across North America in the mid-20th century.
  • E. Chevrolet C/K
    The Chevrolet C/K is a long-running line of full-size pickup trucks produced by General Motors from the 1960s through the late 1990s, known for their durability and popularity in both work and personal use.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc631b88190853948eeb5f24527 completed March 7, 2026, 10:55 p.m.
Created at: March 1, 2026, 7:51 p.m.