Triple
T30871561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irmo, South Carolina |
E786355
|
entity |
| Predicate | OkraStrutFrequency |
P16914
|
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: [Irmo, South Carolina, OkraStrutFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OkraStrutFrequency Context triple: [Irmo, South Carolina, OkraStrutFrequency, annual]
-
A.
frequencyGivenBy
Indicates that the frequency of something is specified, determined, or provided by a particular source or entity.
-
B.
encounterFrequency
Indicates how often two entities come into contact or interact with each other over a given period.
-
C.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
-
D.
seriesFrequency
Indicates how often the events or items in a recurring series occur over time.
-
E.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:48 p.m.