Triple
T26305054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Brussels |
E661656
|
entity |
| Predicate | promotesTransportMode |
P61975
|
FINISHED |
| Object | inland waterway 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: inland waterway transport | Statement: [Port of Brussels, promotesTransportMode, inland waterway transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotesTransportMode Context triple: [Port of Brussels, promotesTransportMode, inland waterway transport]
-
A.
transportationModeEncouraged
chosen
Indicates that a particular mode of transportation is promoted or recommended for use in a given context or situation.
-
B.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
C.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
D.
transportContribution
Indicates that an entity contributes resources, effort, or support toward the transportation of something or someone.
-
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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 26, 2026, 10:18 p.m.