Triple

T14963134
Position Surface form Disambiguated ID Type / Status
Subject GM D-body E373116 entity
Predicate usedByBrand P23474 FINISHED
Object Cadillac E11890 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: Cadillac | Statement: [GM D-body, usedByBrand, Cadillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadillac
Context triple: [GM D-body, usedByBrand, Cadillac]
  • A. Cadillac
    Cadillac is a small city in northern Michigan known for its surrounding lakes, outdoor recreation, and role as a regional tourism and service hub.
  • B. Cadillac
    Cadillac is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • C. Cadillac chosen
    Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
  • D. Buick
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • E. Cadillac Calais
    The Cadillac Calais was a full-size luxury car produced by Cadillac from the mid-1960s to the mid-1970s, positioned as the brand’s entry-level model during that era.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969112d8819094e5d81a8ffa3b8a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.