Triple

T9150775
Position Surface form Disambiguated ID Type / Status
Subject Ningde E219579 entity
Predicate isHeadquartersLocationOf P17490 FINISHED
Object CATL E781313 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: CATL | Statement: [Ningde, isHeadquartersLocationOf, CATL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CATL
Context triple: [Ningde, isHeadquartersLocationOf, CATL]
  • A. Contemporary Amperex Technology Co. Limited chosen
    Contemporary Amperex Technology Co. Limited is a leading Chinese manufacturer of lithium-ion batteries, best known globally as a major supplier of electric vehicle and energy storage batteries.
  • B. BYD
    BYD is the National Rail station code for Barry Docks railway station in the Vale of Glamorgan, Wales.
  • C. BYD Auto
    BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
  • D. GE Vernova
    GE Vernova is General Electric’s energy-focused business, encompassing power generation, grid, and renewable energy technologies and services.
  • E. BYD Commercial Vehicles
    BYD Commercial Vehicles is a division of BYD that designs and manufactures electric and hybrid commercial transport solutions such as buses, trucks, and vans.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96b57888190a09a563f1fa522f6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545c5bb48190b889e6e9ef0448a5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:20 p.m.