Triple

T13526865
Position Surface form Disambiguated ID Type / Status
Subject NIO E323034 entity
Predicate hasModel P2390 FINISHED
Object NIO ET7 E1017627 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: NIO ET7 | Statement: [NIO, hasModel, NIO ET7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIO ET7
Context triple: [NIO, hasModel, NIO ET7]
  • A. NIO ET7 chosen
    The NIO ET7 is a premium all-electric executive sedan from Chinese automaker NIO, known for its long range, advanced driver-assistance features, and optional battery-swap capability.
  • B. XPeng P7
    The XPeng P7 is a Chinese all-electric mid-size sedan known for its long range, advanced driver-assistance features, and technology-focused interior.
  • C. BYD Tang
    The BYD Tang is a mid-size crossover SUV from Chinese automaker BYD, best known for its plug-in hybrid and electric variants that offer strong performance and competitive range.
  • D. BYD Han
    The BYD Han is a flagship mid-size luxury sedan from Chinese automaker BYD, known for its advanced plug-in hybrid and electric powertrains and high-tech features.
  • E. BYD Qin
    BYD Qin is a popular Chinese plug-in hybrid compact sedan known for its strong performance, high fuel efficiency, and role in advancing BYD Auto’s new energy vehicle lineup.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549dda6481908e9305690488b1af completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.