Triple
T255126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carson Pass |
E5420
|
entity |
| Predicate | hasTrailhead |
P3625
|
FINISHED |
| Object | Carson Pass Information Station trailhead |
—
|
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: Carson Pass Information Station trailhead | Statement: [Carson Pass, hasTrailhead, Carson Pass Information Station trailhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailhead Context triple: [Carson Pass, hasTrailhead, Carson Pass Information Station trailhead]
-
A.
hasTrail
chosen
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
C.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
D.
hasRailTrail
Indicates that one location or entity possesses, includes, or is connected by a rail trail (a recreational trail converted from or running along a former or existing railway corridor) to another location or entity.
-
E.
hasConcourse
Indicates that an entity includes, is connected to, or is served by a concourse area (such as a passageway or central hall).
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5669008190978bbd7308be11f7 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.