Triple
T25361452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Willey |
E635976
|
entity |
| Predicate | hasSteepSection |
P77075
|
FINISHED |
| Object | laddered trail segment on Willey Range Trail |
—
|
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: laddered trail segment on Willey Range Trail | Statement: [Mount Willey, hasSteepSection, laddered trail segment on Willey Range Trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSteepSection Context triple: [Mount Willey, hasSteepSection, laddered trail segment on Willey Range Trail]
-
A.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
B.
hasSlopeFeature
chosen
Indicates that an entity possesses or is characterized by a particular slope-related property or feature.
-
C.
hasGradientSection
Indicates that an entity includes a portion or segment where some property changes gradually rather than remaining constant.
-
D.
hasElevatedSections
Indicates that one entity contains or features parts that are raised or elevated relative to its other sections.
-
E.
hasStaircaseToSummit
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of something.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 1:36 p.m.