Triple
T21184226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Oratory School |
E522035
|
entity |
| Predicate | hasMusicSpecialism |
P143203
|
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: [London Oratory School, hasMusicSpecialism, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicSpecialism Context triple: [London Oratory School, hasMusicSpecialism, true]
-
A.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
hasMusicalWorkType
Indicates that a musical work is associated with a specific type or category of musical composition.
-
D.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
E.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730205ce88190b0bb33003295d6e7 |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:05 p.m.