Triple
T16468700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karumba |
E400002
|
entity |
| Predicate | electorateState |
P19338
|
FINISHED |
| Object | Traeger |
E90138
|
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: Traeger | Statement: [Karumba, electorateState, Traeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traeger Context triple: [Karumba, electorateState, Traeger]
-
A.
Traeger
chosen
Traeger is a rural electoral district in the Queensland Legislative Assembly, Australia, encompassing communities in the state's northwest.
-
B.
Griller
Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
-
C.
Roastmaster
Roastmaster is the nickname of comedian Jeffrey Ross, renowned for his sharp, insult-based comedy and frequent appearances at celebrity roasts.
-
D.
Grill
Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
-
E.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.