Triple
T29322194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawas |
E743542
|
entity |
| Predicate | vehicleOrigin |
P166951
|
FINISHED |
| Object | repurposed mining crawlers |
—
|
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: repurposed mining crawlers | Statement: [Jawas, vehicleOrigin, repurposed mining crawlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleOrigin Context triple: [Jawas, vehicleOrigin, repurposed mining crawlers]
-
A.
engineOriginCountry
Indicates the country where an engine was originally designed, manufactured, or first produced.
-
B.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
licensePlateOrigin
Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f668933d288190a5c9437db2b9de01 |
completed | May 2, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 1:24 p.m.