Triple
T19904129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuksachi Lodge |
E478366
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | General Sherman Tree |
—
|
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: General Sherman Tree | Statement: [Wuksachi Lodge, near, General Sherman Tree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Sherman Tree Context triple: [Wuksachi Lodge, near, General Sherman Tree]
-
A.
General Sherman Tree
chosen
The General Sherman Tree is a giant sequoia in California renowned as the largest tree in the world by volume and a major natural landmark.
-
B.
General Grant Tree
The General Grant Tree is a giant sequoia in California renowned as one of the largest and oldest living trees on Earth and honored as the United States’ National Christmas Tree.
-
C.
Shot Poplar
Shot Poplar was a specific nuclear test explosion conducted as part of the U.S. Operation Hardtack I series of atmospheric tests in 1958.
-
D.
Lincoln Tree
Lincoln Tree is a massive giant sequoia located in the Giant Forest of Sequoia National Park in California.
-
E.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65944c55481909b54a8f9a9c087d6 |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.