Triple
T17127083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Belford |
E415623
|
entity |
| Predicate | parentPeak |
P1319
|
FINISHED |
| Object | Mount Oxford |
E402375
|
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 Oxford | Statement: [Mount Belford, parentPeak, Mount Oxford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Oxford Context triple: [Mount Belford, parentPeak, Mount Oxford]
-
A.
Mount Oxford
chosen
Mount Oxford is a high Colorado fourteener in the Rocky Mountains, known for its alpine hiking routes and proximity to Mount Belford in the Sawatch Range.
-
B.
Mount Giles
Mount Giles is a prominent mountain peak in Australia's Northern Territory, known for its rugged scenery and panoramic views within the West MacDonnell Ranges.
-
C.
Mount Usborne
Mount Usborne is the tallest mountain in the Falkland Islands, located on East Falkland and known for its rugged, windswept terrain.
-
D.
St Mary Peak
St Mary Peak is a prominent mountain in South Australia’s Flinders Ranges, known for its challenging hiking trails and expansive outback views.
-
E.
White Peak
White Peak is the limestone plateau region of England’s Peak District, known for its rolling dales, dry stone walls, and pastoral landscapes.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f027a3d081908fc1134b50db3d45 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a145e7481909242aab69baeb7a0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.