Triple
T28142929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSW Premier’s Literary Awards 2015 |
E714397
|
entity |
| Predicate | isStateSponsored |
P166202
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [NSW Premier’s Literary Awards 2015, isStateSponsored, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateSponsored Context triple: [NSW Premier’s Literary Awards 2015, isStateSponsored, true]
-
A.
stateOfSponsor
Indicates the current status or condition of a sponsor in relation to the sponsored entity or activity.
-
B.
sponsorStates
Indicates that one entity acts as a sponsor or supporting state for another entity, typically providing backing, endorsement, or resources.
-
C.
isNonSovereign
Indicates that an entity lacks full independent governing authority and is subject to the sovereignty of another state or higher political authority.
-
D.
appliesToSovereignState
Indicates that something (such as a rule, status, or attribute) is applicable to, or in effect for, a sovereign state.
-
E.
isSponsoredADR
Indicates that one entity serves as the sponsoring party or organization responsible for supporting, backing, or underwriting another entity or activity.
- F. None of above. chosen
Provenance (4 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 9:54 p.m.