Triple
T8835010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Mesa |
E210244
|
entity |
| Predicate | Blue Mesa Trail_surface |
P84915
|
FINISHED |
| Object | paved |
—
|
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: paved | Statement: [Blue Mesa, Blue Mesa Trail_surface, paved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Blue Mesa Trail_surface Context triple: [Blue Mesa, Blue Mesa Trail_surface, paved]
-
A.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
-
B.
isPartOfTrailSystem
Indicates that something belongs to, or is included within, a larger trail network or trail system.
-
C.
locatedOnEasternSlopeOf
Indicates that one entity is situated on the eastern slope or side of another geographic feature or elevation.
-
D.
isRailTrail
Indicates that a path or route is a rail trail, meaning it follows or repurposes a former or existing railway corridor for recreational or transportation use.
-
E.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60686cac8190b3138db40b6fe058 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:47 p.m.