Triple
T36498048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonney Pass |
E899245
|
entity |
| Predicate | traverseType |
P118336
|
FINISHED |
| Object | non-technical in summer under dry conditions |
—
|
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: non-technical in summer under dry conditions | Statement: [Bonney Pass, traverseType, non-technical in summer under dry conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traverseType Context triple: [Bonney Pass, traverseType, non-technical in summer under dry conditions]
-
A.
primaryTraversalType
chosen
Indicates the main or default method by which something is traversed, navigated, or moved through.
-
B.
alsoTraverses
Indicates that a route, path, or entity passes through or crosses an additional location or segment beyond its primary traversal.
-
C.
formerTraversal
Indicates that one entity previously traversed, passed through, or traveled along another entity, but is no longer doing so.
-
D.
launcherTraverse
Indicates the movement or rotation of a launcher mechanism as it traverses across its operational arc or axis.
-
E.
requiresTraversalDirection
Indicates that a relationship or process can only be correctly followed or applied when moving through a structure in a specified direction.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:10 p.m.