Triple

T16179877
Position Surface form Disambiguated ID Type / Status
Subject Morris Garages E392656 entity
Predicate notableModel P1503 FINISHED
Object MG ZS E91031 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: MG ZS | Statement: [Morris Garages, notableModel, MG ZS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG ZS
Context triple: [Morris Garages, notableModel, MG ZS]
  • A. MG ZS chosen
    The MG ZS is a compact crossover SUV produced under the MG marque, known for its value-focused pricing, practical interior, and popularity in markets such as the UK, Europe, and Asia.
  • B. MG ZR
    The MG ZR is a sporty compact hatchback produced by MG Rover in the early 2000s, known for its performance-oriented tuning and popularity in the hot hatch segment.
  • C. MG ZT
    The MG ZT is a performance-oriented executive saloon car produced by MG Rover in the early 2000s, known for its sporty handling and distinctive British styling.
  • D. BMW X5
    The BMW X5 is a mid-size luxury SUV known for combining strong performance, advanced technology, and upscale comfort in BMW’s X-series lineup.
  • E. BMW X4
    The BMW X4 is a compact luxury crossover SUV with coupe-like styling, positioned as a sportier alternative to the more traditional BMW X3.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000787d3fc8190a32d53a177fedb6d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.