Triple
T26666773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soda Mountain Wilderness |
E672206
|
entity |
| Predicate | locatedNearRange |
P350
|
FINISHED |
| Object | Cascade Range |
—
|
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: Cascade Range | Statement: [Soda Mountain Wilderness, locatedNearRange, Cascade Range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedNearRange Context triple: [Soda Mountain Wilderness, locatedNearRange, Cascade Range]
-
A.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
B.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
C.
near
chosen
Indicates that one entity is located at a short distance from another entity in space or position.
-
D.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
-
E.
shortestNear
Indicates that one entity is the closest (or among the closest) to another entity compared to other nearby alternatives.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 27, 2026, 3:10 a.m.