Triple
T458652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newfoundland Time Zone |
E7286
|
entity |
| Predicate | isUniqueWithinCountry |
P15034
|
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: [Newfoundland Time Zone, isUniqueWithinCountry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniqueWithinCountry Context triple: [Newfoundland Time Zone, isUniqueWithinCountry, yes]
-
A.
isUniqueWithinStandard
Indicates that an entity is the only one of its kind within the scope or constraints of a given standard or specification.
-
B.
isUniqueWithinSystem
Indicates that an entity exists only once and has no duplicates within the defined system or scope.
-
C.
usedUniformlyAcrossCountry
Indicates that something is applied or practiced in the same way throughout the entire country without regional variation.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
- F. None of above. chosen
Provenance (4 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa4a6208190a8243a0e14f84f52 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef257a548190a96bfa0cf6183976 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.