Triple

T14614141
Position Surface form Disambiguated ID Type / Status
Subject Liang E343037 entity
Predicate hasVariant P455 FINISHED
Object Nio
Nio is a Chinese electric vehicle manufacturer known for its premium smart EVs and battery-swapping technology.
E1111306 NE FINISHED

How this triple was built (4 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 | Statement: [Liang, hasVariant, Nio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nio
Context triple: [Liang, hasVariant, Nio]
  • A. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • B. Niit
    Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. Nix
    Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
  • E. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nio
Triple: [Liang, hasVariant, Nio]
Generated description
Nio is a Chinese electric vehicle manufacturer known for its premium smart EVs and battery-swapping technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nio
Target entity description: Nio is a Chinese electric vehicle manufacturer known for its premium smart EVs and battery-swapping technology.
  • A. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • B. Niit
    Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. Nix
    Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
  • E. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • F. None of above. chosen

Provenance (5 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb35a57f08190a2d3fe426185bc31 completed May 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69fdb400e08081908d0a782908ba5459 completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.