Triple
T4251154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the British Virgin Islands |
E95854
|
entity |
| Predicate | usedAtSea |
P4959
|
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: [Flag of the British Virgin Islands, usedAtSea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAtSea Context triple: [Flag of the British Virgin Islands, usedAtSea, yes]
-
A.
usesAtSea
chosen
Indicates that something is employed, operated, or applied in a maritime or oceanic environment.
-
B.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
C.
usedInMaritimeNavigation
Indicates that something is employed as a tool, aid, or reference in the practice of maritime navigation.
-
D.
maritimeUsage
Indicates the extent to which something is used for or involved in maritime activities, such as sea transport, navigation, or ocean-related operations.
-
E.
associatedWithSea
Indicates a relationship in which something has a connection, relevance, or linkage to the sea or marine environment.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ea059108190aa00f0f20673e0ac |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.