Triple
T24903487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemington Racecourse railway station |
E623640
|
entity |
| Predicate | primaryEventTypeServed |
P156223
|
FINISHED |
| Object | horse racing |
—
|
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: horse racing | Statement: [Flemington Racecourse railway station, primaryEventTypeServed, horse racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEventTypeServed Context triple: [Flemington Racecourse railway station, primaryEventTypeServed, horse racing]
-
A.
primaryEventType
chosen
Indicates the main or most significant category of event with which an entity, record, or occurrence is primarily associated.
-
B.
primaryServes
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
-
C.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
D.
primaryService
Indicates that one entity serves as the main or principal service provided or used in relation to another entity.
-
E.
primaryContainmentType
Indicates the main method or structure used to hold, enclose, or confine one entity within another.
- 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_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 18, 2026, 5:27 a.m.