Triple

T13526900
Position Surface form Disambiguated ID Type / Status
Subject XPeng E323035 entity
Predicate hasModel P2390 FINISHED
Object XPeng G3 E323035 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: XPeng G3 | Statement: [XPeng, hasModel, XPeng G3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XPeng G3
Context triple: [XPeng, hasModel, XPeng G3]
  • A. 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.
  • B. XPeng chosen
    XPeng is a Chinese electric vehicle manufacturer known for its smart, tech-focused cars and advanced driver-assistance systems.
  • C. Geely Vision X3
    The Geely Vision X3 is a compact crossover SUV produced by Chinese automaker Geely, positioned as an affordable urban-oriented model in the small SUV segment.
  • D. 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.
  • 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.