Triple
T38330771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes Day (Kenya) |
E1037813
|
entity |
| Predicate | publicHolidaysContext |
P13982
|
FINISHED |
| Object | one of Kenya’s key national days |
—
|
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: one of Kenya’s key national days | Statement: [Heroes Day (Kenya), publicHolidaysContext, one of Kenya’s key national days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHolidaysContext Context triple: [Heroes Day (Kenya), publicHolidaysContext, one of Kenya’s key national days]
-
A.
publicHolidayScope
chosen
Indicates the jurisdictional or contextual scope within which a public holiday is officially recognized or applicable.
-
B.
shareNationalHolidaysWith
Indicates that two entities observe the same set or a substantially overlapping set of national holidays.
-
C.
haveOwnPublicHolidays
Indicates that an entity possesses its own distinct set of officially recognized public holidays, separate from those of other entities.
-
D.
publicHolidayEvents
Indicates that certain events are designated to occur on or in connection with public holidays.
-
E.
publicHolidaySector
Indicates that a public holiday applies specifically to, or is defined for, a particular sector or industry.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
Created at: May 3, 2026, 4:30 p.m.