Triple
T33695643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Climb area of Mount Adams |
E863299
|
entity |
| Predicate | hasDesignatedTrailNumber |
P41506
|
FINISHED |
| Object | South Climb Trail #183 (area access) |
—
|
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: South Climb Trail #183 (area access) | Statement: [South Climb area of Mount Adams, hasDesignatedTrailNumber, South Climb Trail #183 (area access)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignatedTrailNumber Context triple: [South Climb area of Mount Adams, hasDesignatedTrailNumber, South Climb Trail #183 (area access)]
-
A.
trailNumber
chosen
Indicates that an entity is associated with a specific trail identifier or route number within a trail system.
-
B.
hasDesignationNumber
Indicates that an entity is associated with a specific official designation or identification number.
-
C.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
E.
hasBranchDesignation
Indicates that an entity is assigned a specific branch identifier or designation within a larger organizational or structural system.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 1, 2026, 1:43 a.m.