Triple
T1328770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam City Swim |
E28392
|
entity |
| Predicate | benefitsOrganizationType |
P27271
|
FINISHED |
| Object | ALS charities |
—
|
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: ALS charities | Statement: [Amsterdam City Swim, benefitsOrganizationType, ALS charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitsOrganizationType Context triple: [Amsterdam City Swim, benefitsOrganizationType, ALS charities]
-
A.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
B.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
C.
responsibleOrganizationType
Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
-
D.
sponsoringOrganizationType
Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
-
E.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.