Triple
T15556677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Nelson Davis |
E370886
|
entity |
| Predicate | honoredBy |
P500
|
FINISHED |
| Object | Mount Davis |
E75018
|
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 Davis | Statement: [John Nelson Davis, honoredBy, Mount Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Davis Context triple: [John Nelson Davis, honoredBy, Mount Davis]
-
A.
Mount Davis
chosen
Mount Davis is the highest peak in Pennsylvania, located in the Laurel Highlands of the Allegheny Mountains.
-
B.
Mount Humphreys
Mount Humphreys is a prominent high-elevation peak in the Sierra Nevada of California, popular with climbers for its rugged terrain and alpine scenery.
-
C.
Mount Wilbur
Mount Wilbur is a prominent, rugged peak in Glacier National Park in Montana, known for its dramatic cliffs rising above the Many Glacier area.
-
D.
Mount Davidson
Mount Davidson is a mountain peak located in the Fitzsimmons Range of the Coast Mountains in British Columbia, Canada.
-
E.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec93ac48190b2548a61797480cc |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:09 a.m.