Triple
T14227708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ven |
E352665
|
entity |
| Predicate | primaryTransportModeOnIsland |
P62151
|
FINISHED |
| Object | bicycle |
—
|
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: bicycle | Statement: [Ven, primaryTransportModeOnIsland, bicycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTransportModeOnIsland Context triple: [Ven, primaryTransportModeOnIsland, bicycle]
-
A.
mainTransportOnIsland
chosen
Indicates that a given mode of transport is the primary or most commonly used means of transportation on a particular island.
-
B.
hasPrimaryTransportationMode
Indicates the main or most frequently used mode of transportation associated with an entity.
-
C.
primaryTransports
Indicates that one entity serves as the main means or method of transporting or conveying another entity.
-
D.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
E.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.