Triple

T13545983
Position Surface form Disambiguated ID Type / Status
Subject GM B-body E323510 entity
Predicate usedByDivision P31577 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 B-body, usedByDivision, Cadillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadillac
Context triple: [GM B-body, usedByDivision, 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdb466881908fb46642dc66849d completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d78433081909ae0278e9e1abacb completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:45 p.m.