Triple
T21488247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Symphony Association |
E530168
|
entity |
| Predicate | supportsTypeOfOrganization |
P144565
|
FINISHED |
| Object | 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: symphony orchestra | Statement: [Pittsburgh Symphony Association, supportsTypeOfOrganization, symphony orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTypeOfOrganization Context triple: [Pittsburgh Symphony Association, supportsTypeOfOrganization, symphony orchestra]
-
A.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
B.
supportsOrganization
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
C.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea390bd88190bc444e6af275f6e8 |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:22 p.m.