Triple
T3397802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony Hall |
E71570
|
entity |
| Predicate | hostsGenre |
P30020
|
FINISHED |
| Object | classical |
—
|
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: classical | Statement: [Symphony Hall, hostsGenre, classical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsGenre Context triple: [Symphony Hall, hostsGenre, classical]
-
A.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
B.
broadcastGenre
Indicates the genre or category under which a broadcast (such as a TV or radio program) is classified.
-
C.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
D.
supportedGenre
chosen
Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
-
E.
hasGenreOrigin
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c5816881909f91e6e9b81d29e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.