Triple
T994560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigafactory Berlin-Brandenburg |
E21466
|
entity |
| Predicate | primaryMarketServed |
P12320
|
FINISHED |
| Object | European electric vehicle market |
—
|
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: European electric vehicle market | Statement: [Gigafactory Berlin-Brandenburg, primaryMarketServed, European electric vehicle market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMarketServed Context triple: [Gigafactory Berlin-Brandenburg, primaryMarketServed, European electric vehicle market]
-
A.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
B.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
C.
primaryTerritory
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
D.
primaryServes
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
-
E.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2af071c819086c374a16307dfe0 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.