Triple
T23649440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Randwick Racecourse |
E584127
|
entity |
| Predicate | grandstandName |
P50008
|
FINISHED |
| Object | Queen Elizabeth II Grandstand |
—
|
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: Queen Elizabeth II Grandstand | Statement: [Royal Randwick Racecourse, grandstandName, Queen Elizabeth II Grandstand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandstandName Context triple: [Royal Randwick Racecourse, grandstandName, Queen Elizabeth II Grandstand]
-
A.
hasGrandstandFeature
Indicates that something possesses or includes a grandstand-related feature or characteristic.
-
B.
hasGrandstandStyle
Indicates that something is characterized by or associated with a particular style or type of grandstand.
-
C.
stadiumOfficialName
Indicates the formal, legally recognized name assigned to a stadium.
-
D.
mainStandName
chosen
Indicates that one entity is the primary or official name of a stand associated with another entity.
-
E.
stadiumAlsoKnownAs
Indicates that a stadium has an alternative name or alias by which it is also known.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b2885b408190a43dfed93309a4d6 |
completed | April 29, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.