Triple
T15824946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sugartop |
E383714
|
entity |
| Predicate | mapLabel |
P13793
|
FINISHED |
| Object | Mount Sugartop |
E383714
|
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 Sugartop | Statement: [Mount Sugartop, mapLabel, Mount Sugartop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Sugartop Context triple: [Mount Sugartop, mapLabel, Mount Sugartop]
-
A.
Mount Sugartop
chosen
Mount Sugartop is a prominent mountain peak located within South Georgia’s Allardyce Range in the South Atlantic.
-
B.
Spruce Peak
Spruce Peak is a prominent mountain in Vermont’s Green Mountains, known as part of the terrain that hosts the popular Stowe ski and outdoor recreation area.
-
C.
Spruce Peak
Spruce Peak is a prominent mountain summit within the Sunday River ski area in Maine, known for its ski trails and scenic alpine terrain.
-
D.
Vail Peak
Vail Peak is the highest mountain on Santa Rosa Island, one of California’s Channel Islands, known for its rugged terrain and coastal views.
-
E.
Hunter Peak
Hunter Peak is a prominent mountain summit in the Guadalupe Mountains of West Texas, known for its scenic hiking trails and expansive desert and canyon views.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7f3c9481908bdde67998263c5e |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:49 a.m.