Triple
T16852505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Energy Solution |
E409707
|
entity |
| Predicate | isPartOfSupplyChain |
P117998
|
FINISHED |
| Object | electric vehicles |
—
|
LITERAL 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: electric vehicles | Statement: [LG Energy Solution, isPartOfSupplyChain, electric vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSupplyChain Context triple: [LG Energy Solution, isPartOfSupplyChain, electric vehicles]
-
A.
partOfSupplyChain
chosen
Indicates that one entity functions as a component, stage, or link within the overall supply chain of another entity.
-
B.
supplyChain
Indicates a relationship where one entity participates in providing, transferring, or managing goods, services, or information to another as part of a sequential production and distribution process.
-
C.
supplyChainFocus
Indicates a relationship where an entity concentrates its efforts, resources, or strategy on managing, optimizing, or improving supply chain activities and processes.
-
D.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
E.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
- F. None of above.
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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.