Triple
T2736206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker Pass |
E60635
|
entity |
| Predicate | isOneOfLowestSierraCrossings |
P211
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Walker Pass, isOneOfLowestSierraCrossings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLowestSierraCrossings Context triple: [Walker Pass, isOneOfLowestSierraCrossings, true]
-
A.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
B.
hasMountainPassNearby
Indicates that a mountain pass is located in close proximity to the referenced place or feature.
-
C.
lowestPoint
chosen
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
D.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
E.
crossesMountainRange
Indicates that one entity traverses from one side of a mountain range to the other, passing through or over it.
- F. None of above.
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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb11c66c81909058f2978aa5fae9 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.