Triple
T29421198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siniristilippu |
E746159
|
entity |
| Predicate | hasFlagDays |
P172829
|
FINISHED |
| Object | official flag days in Finland |
—
|
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: official flag days in Finland | Statement: [Siniristilippu, hasFlagDays, official flag days in Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagDays Context triple: [Siniristilippu, hasFlagDays, official flag days in Finland]
-
A.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
B.
hasPublicDays
Indicates that an entity has specific days designated as open or accessible to the public.
-
C.
hasHolidayAnalog
Indicates that one entity has a corresponding or comparable counterpart in the context of a holiday or holiday-related tradition.
-
D.
isFederalHoliday
Indicates that a given day is officially recognized as a federal holiday by the national government.
-
E.
hasHolidayCountry
Indicates that a specific holiday is officially observed or associated with a particular 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 28, 2026, 3:05 p.m.