Triple
T23594065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Night |
E582565
|
entity |
| Predicate | wasFirstPerformedInCountry |
P152846
|
FINISHED |
| Object | Austria |
—
|
NE NERFINISHED |
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: Austria | Statement: [Silent Night, wasFirstPerformedInCountry, Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstPerformedInCountry Context triple: [Silent Night, wasFirstPerformedInCountry, Austria]
-
A.
countryOfFirstEvent
Indicates the country in which the first event in a sequence or series took place.
-
B.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
-
C.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
D.
hasFirstReportedCountry
Indicates the country where something (such as a case, event, or phenomenon) was first officially reported or documented.
-
E.
firstBroadcastInCountry
Indicates that a work (such as a program or broadcast) was first aired or transmitted in a 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08d63dc81908c092a87cf61f2b9 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:42 p.m.