Triple
T6410260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Arts Centre Orchestra |
E127685
|
entity |
| Predicate | hasEnsembleSize |
P24652
|
FINISHED |
| Object | full-size symphony orchestra |
—
|
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: full-size symphony orchestra | Statement: [National Arts Centre Orchestra, hasEnsembleSize, full-size symphony orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnsembleSize Context triple: [National Arts Centre Orchestra, hasEnsembleSize, full-size symphony orchestra]
-
A.
isPartOfEnsemble
Indicates that an entity belongs to, or is a member of, a larger group or ensemble.
-
B.
typeOfEnsemble
chosen
Indicates the specific kind or category of ensemble that an entity belongs to or represents.
-
C.
hasEnsembleCast
Indicates that a work features an ensemble cast, meaning multiple principal performers share roughly equal prominence rather than having a single clear lead.
-
D.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
E.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.