Triple

T16179829
Position Surface form Disambiguated ID Type / Status
Subject MG ZT E392655 entity
Predicate highPerformanceVariant P12592 FINISHED
Object MG ZT 260 E392655 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 ZT 260 | Statement: [MG ZT, highPerformanceVariant, MG ZT 260]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG ZT 260
Context triple: [MG ZT, highPerformanceVariant, MG ZT 260]
  • A. MG ZT chosen
    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.
  • 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. Azuga
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • D. MG 1300
    The MG 1300 was a small British saloon car of the 1960s–70s, produced by MG as a sportier, badge-engineered version of the BMC ADO16 family.
  • E. Motol
    Motol is a district in western Prague known for its large hospital complex, residential areas, and proximity to parks and recreational facilities.
  • 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_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.