Triple
T18474001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray River (Western Australia) |
E451379
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Pinjarra |
—
|
NE NERFINISHED |
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: Pinjarra | Statement: [Murray River (Western Australia), nearbyTown, Pinjarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinjarra Context triple: [Murray River (Western Australia), nearbyTown, Pinjarra]
-
A.
Pinjarra
chosen
Pinjarra is a historic rural town in Western Australia known for its agriculture, heritage sites, and location along the South Western Highway near the Murray River.
-
B.
Gidgegannup
Gidgegannup is a rural locality on the outskirts of Perth in Western Australia, known for its bushland, small farms, and scenic countryside.
-
C.
Yallingup
Yallingup is a coastal town in Western Australia known for its surf breaks, limestone caves, and proximity to the Margaret River wine region.
-
D.
Kellerberrin
Kellerberrin is a small rural town in Western Australia known for its grain farming and role as a service centre in the state’s Wheatbelt.
-
E.
Nannup
Nannup is a small rural town in Western Australia known for its timber industry, scenic forests, and annual flower and music festivals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53062387481909d4503fc963f9913 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.