Triple
T37983097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Star Sydney |
E947607
|
entity |
| Predicate | hasCasinoLicenseFrom |
P65800
|
FINISHED |
| Object | New South Wales Government |
—
|
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: New South Wales Government | Statement: [The Star Sydney, hasCasinoLicenseFrom, New South Wales Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCasinoLicenseFrom Context triple: [The Star Sydney, hasCasinoLicenseFrom, New South Wales Government]
-
A.
gamingLicenseIssuer
chosen
Indicates the authority or entity that grants or issues a gaming license to another party.
-
B.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
C.
hasGamingLicenseJurisdiction
Indicates that an entity holds legal authority or permission to conduct gaming activities within a specified jurisdiction.
-
D.
majorCasinoOperatorPresence
Indicates that a major casino operator has an established operational or business presence in relation to the referenced entity or location.
-
E.
hasCasinoWebsite
Indicates that an entity operates, is associated with, or is represented by a website specifically dedicated to casino-related activities or services.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a003f6083608190a5deadc7291cf70e |
completed | May 10, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_6a003c935c40819085fdb255a52ba03b |
completed | May 10, 2026, 8:06 a.m. |
Created at: May 3, 2026, 4:20 p.m.