Triple
T13972773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Centre:MK |
E336105
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | AustralianSuper |
E137847
|
NE 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: AustralianSuper | Statement: [The Centre:MK, owner, AustralianSuper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AustralianSuper Context triple: [The Centre:MK, owner, AustralianSuper]
-
A.
AustralianSuper
chosen
AustralianSuper is one of Australia’s largest industry superannuation funds, managing retirement savings on behalf of millions of members.
-
B.
Australiana
Australiana refers to cultural, historical, and artistic materials that relate specifically to Australia, its people, and its heritage.
-
C.
.au
.au is the country code top-level domain (ccTLD) designated for websites associated with Australia.
-
D.
AU
Aarhus University (AU) is a major public research university in Aarhus, Denmark, known for its broad range of academic programs and strong international profile.
-
E.
AU
AU is the ISO 3166-1 alpha-2 country code for Australia, a large island nation and continent in the Southern Hemisphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.