Triple
T18868754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic/Bermuda |
E461510
|
entity |
| Predicate | isSingleZoneCountry |
P4883
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Atlantic/Bermuda, isSingleZoneCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSingleZoneCountry Context triple: [Atlantic/Bermuda, isSingleZoneCountry, true]
-
A.
isSingleTimeZoneForCountry
chosen
Indicates that a country uses a single, uniform time zone throughout its entire territory.
-
B.
isSingleDistrictFor
Indicates that one district uniquely and exclusively serves or applies to a given entity, with no other districts sharing that role.
-
C.
isUniqueWithinCountry
Indicates that an entity is the only one of its kind within the boundaries of a specific country.
-
D.
hasAlternativeZoneInCountry
Indicates that an entity has an alternative zone or area located within the specified country.
-
E.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a7e1308190a1667d2d2d43df6c |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.