Triple
T24903286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LKS Mackinnon Stakes |
E623635
|
entity |
| Predicate | associatedCarnival |
P151208
|
FINISHED |
| Object | Melbourne Spring Racing Carnival |
—
|
NE NERFINISHED |
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: Melbourne Spring Racing Carnival | Statement: [LKS Mackinnon Stakes, associatedCarnival, Melbourne Spring Racing Carnival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCarnival Context triple: [LKS Mackinnon Stakes, associatedCarnival, Melbourne Spring Racing Carnival]
-
A.
associatedFestivalOrCustom
chosen
Indicates a festival or custom that is traditionally linked or related to the given entity.
-
B.
carnivalRecognizedAs
Indicates that one carnival is acknowledged, designated, or officially regarded as a particular type, status, or identity.
-
C.
carnivalFrequency
Indicates how often a carnival event occurs within a given time period.
-
D.
relatedFestivalType
Indicates that one festival is associated with another through a shared or corresponding festival type or category.
-
E.
associatedWithTribeFestival
Indicates a relationship where an entity is connected or linked to a specific tribe’s festival, such as by participation, organization, or relevance.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 18, 2026, 5:27 a.m.