Triple
T18926866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Gulf |
E462996
|
entity |
| Predicate | boundedBy |
P224
|
FINISHED |
| Object | Mount Madison |
—
|
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: Mount Madison | Statement: [Great Gulf, boundedBy, Mount Madison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Madison Context triple: [Great Gulf, boundedBy, Mount Madison]
-
A.
Mount Madison
chosen
Mount Madison is one of New Hampshire’s Presidential Range peaks in the White Mountains, popular with hikers for its rugged alpine terrain and panoramic views.
-
B.
Mount Cushman
Mount Cushman is a small mountain in Thornton, New Hampshire, known as the town’s highest natural elevation point within the White Mountains region.
-
C.
Mount Sullivan
Mount Sullivan is a notable natural landmark near the coastal town of Port St Johns in South Africa’s Eastern Cape.
-
D.
Mount Moran
Mount Moran is a prominent, glaciated mountain peak in Wyoming’s Grand Teton National Park, known for its striking vertical cliffs and popularity among climbers and photographers.
-
E.
Mount Adam
Mount Adam is the tallest mountain on West Falkland in the Falkland Islands, known for its rugged terrain and panoramic views over the surrounding landscape.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bc36588190ae9cc3b8abf8afd4 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.