Triple
T1471995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiological Society of North America |
E27153
|
entity |
| Predicate | hasEventFrequency |
P29070
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Radiological Society of North America, hasEventFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEventFrequency Context triple: [Radiological Society of North America, hasEventFrequency, annual]
-
A.
hasEventSpace
Indicates that an entity provides or includes a designated space intended for hosting events.
-
B.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
C.
hasEventType
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
D.
hasEventSeries
Indicates that an entity is associated with, or participates in, a sequence of related events forming a series.
-
E.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.