Triple
T20756871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson River Sloop Clearwater |
E510871
|
entity |
| Predicate | ClearwaterFestivalFrequency |
P78772
|
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: [Hudson River Sloop Clearwater, ClearwaterFestivalFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ClearwaterFestivalFrequency Context triple: [Hudson River Sloop Clearwater, ClearwaterFestivalFrequency, annual]
-
A.
hasFestivalFrequency
chosen
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
B.
carnivalFrequency
Indicates how often a carnival event occurs within a given time period.
-
C.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
-
D.
floatFestivalHeldIn
Indicates that a float festival event takes place or is hosted at a specific location.
-
E.
exhibitionFrequency
Indicates how often an entity is displayed, presented, or exhibited within a given context or 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c23113c88190a567c3a098cf7552 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.