Triple
T15894075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molendinar |
E385404
|
entity |
| Predicate | hasNeighbouringSuburb |
P41355
|
FINISHED |
| Object | Labrador |
E1095127
|
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: Labrador | Statement: [Molendinar, hasNeighbouringSuburb, Labrador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labrador Context triple: [Molendinar, hasNeighbouringSuburb, Labrador]
-
A.
Labrador
Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
-
B.
Labrador
chosen
Labrador is a coastal suburb on Queensland’s Gold Coast in Australia, known for its waterfront parks and views over the Broadwater.
-
C.
Labrador Retriever
The Labrador Retriever is a friendly, intelligent, and highly trainable dog breed widely used in roles such as service work, search and rescue, and family companionship.
-
D.
Golden Retriever
The Golden Retriever is a friendly, intelligent, and highly trainable medium-to-large dog breed known for its golden coat and popularity as a family pet and service dog.
-
E.
Collie
Collie is a town in the South West of Western Australia known historically for its coal mining industry and surrounding forested landscapes.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563809748190a54156b946d3f061 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0497cb481908e8ea4ebb9c4039d |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.