Triple
T7234833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Canyon |
E155195
|
entity |
| Predicate | mainRouteBetween |
P45128
|
FINISHED |
| Object | Logan, Utah and Bear Lake |
—
|
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: Logan, Utah and Bear Lake | Statement: [Logan Canyon, mainRouteBetween, Logan, Utah and Bear Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRouteBetween Context triple: [Logan Canyon, mainRouteBetween, Logan, Utah and Bear Lake]
-
A.
routeBetween
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
-
B.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
-
C.
parallelRoute
Indicates that one route runs alongside and in the same general direction as another route without intersecting it.
-
D.
routeVia
Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
-
E.
isMostCommonRouteTo
chosen
Indicates that one route is the most frequently used or typical way to reach a particular destination or outcome compared to all other possible routes.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.