Triple
T26907040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Virgin Islands transportation system |
E677281
|
entity |
| Predicate | supportsCruiseTourism |
P190079
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United States Virgin Islands transportation system, supportsCruiseTourism, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCruiseTourism Context triple: [United States Virgin Islands transportation system, supportsCruiseTourism, yes]
-
A.
cruiseCapability
Indicates the ability of an entity to travel or operate in a steady, sustained cruising mode under its own power.
-
B.
servesCruisePort
Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
-
C.
hasCruiseFacilities
chosen
Indicates that a location or entity provides facilities or infrastructure to support cruise ships or cruise-related activities.
-
D.
producesToursFor
Indicates that one entity organizes or creates tours that are intended for or provided to another entity.
-
E.
hasIslandTourism
Indicates that an entity engages in or supports tourism activities specifically related to islands.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: April 27, 2026, 5:59 a.m.