Triple
T10823722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabal Katrinah |
E255439
|
entity |
| Predicate | hasAscentRoutes |
P2405
|
FINISHED |
| Object | marked trekking paths |
—
|
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: marked trekking paths | Statement: [Gabal Katrinah, hasAscentRoutes, marked trekking paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAscentRoutes Context triple: [Gabal Katrinah, hasAscentRoutes, marked trekking paths]
-
A.
hasPopularAscentRouteFrom
Indicates that there exists a commonly used or well-known route for ascending to a place or peak starting from the specified origin location.
-
B.
climbingRoute
chosen
Indicates a relationship where a path or sequence of holds is designated for ascending a surface, typically in rock climbing or similar activities.
-
C.
hasFirstRecordedAscent
Indicates that a particular ascent is the earliest known or documented successful climb of a specific route, peak, or climbing objective.
-
D.
climbsTo
Indicates that one entity moves upward, typically with effort or by climbing, until it reaches another entity or a higher position.
-
E.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734cf7918819094d36ea208c80d12 |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.