Triple
T23381031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geiger Lookout Wayside Park |
E593744
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Geiger Grade |
—
|
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: Geiger Grade | Statement: [Geiger Lookout Wayside Park, namedAfter, Geiger Grade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geiger Grade Context triple: [Geiger Lookout Wayside Park, namedAfter, Geiger Grade]
-
A.
Geiger Grade
chosen
Geiger Grade is a historic mountain pass and roadway in Nevada that connects Reno to Virginia City through the Virginia Range.
-
B.
Geiger
Geiger is a German surname most famously associated with physicist Hans Geiger, co-inventor of the Geiger counter for detecting ionizing radiation.
-
C.
Grado
Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
-
D.
Gunter
Gunter is the mischievous penguin companion of the Ice King in the animated television series "Adventure Time."
-
E.
Gunter
Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b7eff48190be126df2211b4c85 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:34 p.m.