Triple
T16026133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDV |
E388721
|
entity |
| Predicate | primaryUseOfVehicles |
P111701
|
FINISHED |
| Object | goods transport |
—
|
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: goods transport | Statement: [LDV, primaryUseOfVehicles, goods transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseOfVehicles Context triple: [LDV, primaryUseOfVehicles, goods transport]
-
A.
hasVehicularUse
chosen
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
-
B.
primaryTransports
Indicates that one entity serves as the main means or method of transporting or conveying another entity.
-
C.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
D.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
-
E.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.