Triple
T7691004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballina Salmon Festival |
E174243
|
entity |
| Predicate | featuresEventType |
P6628
|
FINISHED |
| Object | parade |
—
|
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: parade | Statement: [Ballina Salmon Festival, featuresEventType, parade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEventType Context triple: [Ballina Salmon Festival, featuresEventType, parade]
-
A.
featuresEvent
chosen
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
B.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
C.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
D.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
-
E.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.