Triple
T18379767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renault Samsung Motors |
E446411
|
entity |
| Predicate | hasEngineeringSupportFrom |
P9867
|
FINISHED |
| Object | Renault engineering network |
—
|
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: Renault engineering network | Statement: [Renault Samsung Motors, hasEngineeringSupportFrom, Renault engineering network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngineeringSupportFrom Context triple: [Renault Samsung Motors, hasEngineeringSupportFrom, Renault engineering network]
-
A.
hasLiveSupportFrom
Indicates that one entity receives real-time, human-provided assistance or support services from another entity.
-
B.
tieneSoporte
Indicates that one entity provides support, backing, or a supporting structure for another entity.
-
C.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
D.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
E.
isSupportedBy
chosen
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.