Triple
T14620172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelion Hut |
E343195
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Mount Oakleigh |
E1111032
|
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 Oakleigh | Statement: [Pelion Hut, hasViewOf, Mount Oakleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Oakleigh Context triple: [Pelion Hut, hasViewOf, Mount Oakleigh]
-
A.
Mount Oakleigh
chosen
Mount Oakleigh is a prominent mountain in Tasmania’s Cradle Mountain-Lake St Clair National Park, known for its distinctive dolerite peaks and popular hiking routes.
-
B.
Wattle Hill
Wattle Hill is a rural locality within the Leeton Shire local government area in New South Wales, Australia.
-
C.
Mount Gordon
Mount Gordon is a peak in Alaska’s Wrangell Mountains, a volcanic mountain range known for its extensive glaciers and rugged, remote terrain.
-
D.
Wheelers Hill
Wheelers Hill is a residential suburb in Melbourne, Victoria, known for its parks, schools, and elevated views in the city’s southeast.
-
E.
Mount Brighton
Mount Brighton is a ski and snowboard area in Brighton, Michigan, known for its man-made hills and Midwestern winter sports terrain.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cd890c8190902c9b526babe6d3 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.