Triple
T19490356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loveland Pass |
E487630
|
entity |
| Predicate | roadOften |
P136112
|
FINISHED |
| Object | snow-packed in winter |
—
|
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: snow-packed in winter | Statement: [Loveland Pass, roadOften, snow-packed in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadOften Context triple: [Loveland Pass, roadOften, snow-packed in winter]
-
A.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
B.
roadTraverses
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
-
C.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
D.
onRoad
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
E.
roadEnvironment
Indicates that the relationship or action occurs within, is influenced by, or is specifically associated with a road or roadway environment.
- F. None of above. chosen
Provenance (4 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348d43448190bf83680522b8b415 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.