Triple
T36736268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Wedding of Prince William and Catherine Middleton |
E907485
|
entity |
| Predicate | publicHolidayInUK |
P360
|
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: [Royal Wedding of Prince William and Catherine Middleton, publicHolidayInUK, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHolidayInUK Context triple: [Royal Wedding of Prince William and Catherine Middleton, publicHolidayInUK, true]
-
A.
nationalHolidayCountry
Indicates that a specific day is officially recognized as a national holiday in a given country.
-
B.
nationalHolidayDate
Indicates the specific calendar date on which a given national holiday is officially observed.
-
C.
nationalHoliday
chosen
Indicates that a particular day is officially recognized and observed as a national holiday by a country or nation.
-
D.
includeNationalHolidays
Indicates that national holidays are to be added to or considered within a given schedule, dataset, or context.
-
E.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 3, 2026, 4:12 p.m.