Triple
T27050946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube Symphony Orchestra |
E684770
|
entity |
| Predicate | cityOfFirstMajorEvent |
P90028
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [YouTube Symphony Orchestra, cityOfFirstMajorEvent, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFirstMajorEvent Context triple: [YouTube Symphony Orchestra, cityOfFirstMajorEvent, New York City]
-
A.
firstMajorRunCity
chosen
Indicates the city where an entity’s first major run, performance, or large-scale event initially took place.
-
B.
firstMajorEventAt
Indicates that the referenced event is the earliest major event associated with the given entity, specifying when that first significant occurrence takes place.
-
C.
cityOfMajorPresence
Indicates that an entity has a significant or primary operational, demographic, or functional presence in the specified city.
-
D.
isMajorEventOf
Indicates that an event is a primary, significant, or defining occurrence within the context of another entity (such as a project, period, or process).
-
E.
firstRaceCity
Indicates the city where an entity’s first race or competitive event took place.
- 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_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:14 a.m.