Triple
T27885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiestas Patrias |
E556
|
entity |
| Predicate | holidayType |
P2155
|
FINISHED |
| Object | patriotic holiday |
—
|
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: patriotic holiday | Statement: [Fiestas Patrias, holidayType, patriotic holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holidayType Context triple: [Fiestas Patrias, holidayType, patriotic holiday]
-
A.
nationalHoliday
Indicates that a particular day is officially recognized and observed as a national holiday by a country or nation.
-
B.
nationalHolidayDate
Indicates the specific calendar date on which a given national holiday is officially observed.
-
C.
hasImportantHoliday
Indicates that an entity is associated with a holiday considered significant or special in some context.
-
D.
majorFeast
Indicates that an event or celebration is recognized as a major religious or cultural feast of high importance.
-
E.
hasNameDay
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249246968819099985f13127063d2 |
completed | Feb. 28, 2026, 1:47 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.