Triple
T16604218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin Plan lakeshore landscape |
E403408
|
entity |
| Predicate | hasViewTo |
P854
|
FINISHED |
| Object | Black Mountain |
unclear NED1
|
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: Black Mountain | Statement: [Griffin Plan lakeshore landscape, hasViewTo, Black Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Mountain Context triple: [Griffin Plan lakeshore landscape, hasViewTo, Black Mountain]
-
A.
Black Mountain
Black Mountain is the English meaning of "Swartberg," the name of a prominent mountain range in South Africa.
-
B.
Black Mountain
Black Mountain is a Canadian rock band known for its heavy, psychedelic sound and association with the indie label Jagjaguwar.
-
C.
Black Mountain
Black Mountain is a prominent natural hill and landmark in Canberra, Australia, known for its bushland reserve and the Telstra Tower on its summit.
-
D.
Black Mountain
Black Mountain is a rugged, scenic mountain range in the western part of the Brecon Beacons in Wales, known for its remote moorlands, lakes, and dramatic escarpments.
-
E.
Black Mountain
Black Mountain is a rural locality in Queensland, Australia, known for its scenic hinterland setting near Noosa on the Sunshine Coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3608ff1a481909084e7ad984b0f95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a67abc8190b0f29a9e4589befb |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.