Triple
T14716144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Braddon |
E345683
|
entity |
| Predicate | namesakeInstanceOf |
P86008
|
FINISHED |
| Object | Australian politician |
—
|
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: Australian politician | Statement: [Division of Braddon, namesakeInstanceOf, Australian politician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesakeInstanceOf Context triple: [Division of Braddon, namesakeInstanceOf, Australian politician]
-
A.
namedAfterInstanceOf
chosen
Indicates that one entity is named after another entity that is an instance of a particular class or type.
-
B.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
C.
instanceOf
relation of type constraints
-
D.
laterInstanceOf
Indicates that one entity is a subsequent or later-occurring instance of the same type or pattern as another entity.
-
E.
previousInstanceOf
Indicates that one entity is an earlier occurrence or version of another entity in a sequence or history.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98688f48190b2b19ce7aa06a6db |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.