Triple
T5102382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla export hub |
E115009
|
entity |
| Predicate | exportType |
P56534
|
FINISHED |
| Object | finished 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: finished electric vehicles | Statement: [Tesla export hub, exportType, finished electric vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportType Context triple: [Tesla export hub, exportType, finished electric vehicles]
-
A.
exportsType
chosen
Indicates that one entity sends or sells a particular type or category of goods, services, or resources to another entity across a boundary (such as international borders).
-
B.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
C.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
D.
specType
Indicates the specific type or category of a specification that an entity is associated with.
-
E.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.