Triple
T21607226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevel Nord |
E533208
|
entity |
| Predicate | hasProductionSiteType |
P144768
|
FINISHED |
| Object | automotive assembly plant |
—
|
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: automotive assembly plant | Statement: [Sevel Nord, hasProductionSiteType, automotive assembly plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionSiteType Context triple: [Sevel Nord, hasProductionSiteType, automotive assembly plant]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
-
C.
hasCapitalSiteType
Indicates the type or classification of the site that serves as the capital for an entity.
-
D.
hasProductionBase
Indicates that one entity serves as the primary location or base where another entity’s production or manufacturing activities are carried out.
-
E.
includesOnSiteProduction
Indicates that something encompasses or involves production activities carried out directly at a specific site or location.
- F. None of above. chosen
Provenance (4 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e6378881908678dc903b8ba6ac |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.