Triple
T27050945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube Symphony Orchestra |
E684770
|
entity |
| Predicate | countryOfFirstMajorEvent |
P8095
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [YouTube Symphony Orchestra, countryOfFirstMajorEvent, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFirstMajorEvent Context triple: [YouTube Symphony Orchestra, countryOfFirstMajorEvent, United States]
-
A.
countryOfFirstEvent
chosen
Indicates the country in which the first event in a sequence or series took place.
-
B.
majorEventCountry
Indicates that a major event took place in, or is primarily associated with, a particular country.
-
C.
firstMajorEventAt
Indicates that the referenced event is the earliest major event associated with the given entity, specifying when that first significant occurrence takes place.
-
D.
countryWhereOccurred
Indicates the country in which a particular event, action, or occurrence took place.
-
E.
firstMajorInternationalEvent
Indicates that the event is the earliest significant international-level occurrence in which the entity participated or was involved.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 8:14 a.m.