Triple
T38225552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darwin Turf Club |
E1012131
|
entity |
| Predicate | holdsEventFrequency |
P29070
|
FINISHED |
| Object | annual Darwin Cup Carnival |
—
|
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 Darwin Cup Carnival | Statement: [Darwin Turf Club, holdsEventFrequency, annual Darwin Cup Carnival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsEventFrequency Context triple: [Darwin Turf Club, holdsEventFrequency, annual Darwin Cup Carnival]
-
A.
hasEventFrequency
chosen
Indicates how often a particular event occurs within a given time period.
-
B.
holdsSummitFrequency
Indicates how often a summit or high-level meeting is held within a given time period.
-
C.
hasFestivalFrequency
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
D.
sportEventFrequency
Indicates how often a particular sport event occurs within a given time period.
-
E.
hasOccasionalEvent
Indicates that an event or activity occurs irregularly or infrequently in relation to a given entity or context.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.