Triple
T13383760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crafers |
E319383
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Mount Lofty |
E983440
|
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: Mount Lofty | Statement: [Crafers, nearbyLocality, Mount Lofty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Lofty Context triple: [Crafers, nearbyLocality, Mount Lofty]
-
A.
Mount Lofty
chosen
Mount Lofty is a prominent peak in South Australia overlooking Adelaide, known for its scenic views, walking trails, and popular lookout.
-
B.
Drummond Hill
Drummond Hill is a notable wooded hill in Perthshire, Scotland, known for its scenic views and extensive forested slopes above Loch Tay.
-
C.
Mount Waverley
Mount Waverley is a residential suburb in Melbourne, Victoria, Australia, known for its family-friendly environment, schools, and access to public transport.
-
D.
Hallett Peak
Hallett Peak is a prominent mountain summit in Rocky Mountain National Park in Colorado, known for its dramatic cliffs and popular hiking and climbing routes.
-
E.
Mount Burr
Mount Burr is a small rural town in South Australia's Limestone Coast region, historically known for its timber industry and surrounding pine plantations.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.