Triple
T18631591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austronesian expansion |
E455430
|
entity |
| Predicate | drivingTechnologies |
P87289
|
FINISHED |
| Object | outrigger canoes |
—
|
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: outrigger canoes | Statement: [Austronesian expansion, drivingTechnologies, outrigger canoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingTechnologies Context triple: [Austronesian expansion, drivingTechnologies, outrigger canoes]
-
A.
usesVehicleTechnology
Indicates that an entity employs or applies a specific vehicle-related technology in its operations, products, or activities.
-
B.
driveAssistFeature
Indicates that one entity provides an assistance feature that helps another entity perform driving-related tasks.
-
C.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
-
D.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
-
E.
transportTechnology
chosen
Indicates a relationship where one entity serves as the means, system, or method used to transport or move another entity from one place to another.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc4c5648190b771e9b080e98c15 |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.