Triple
T15556471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tibberoowuccum |
E370881
|
entity |
| Predicate | hasClimbingStatus |
P108521
|
FINISHED |
| Object | limited rock climbing |
—
|
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: limited rock climbing | Statement: [Mount Tibberoowuccum, hasClimbingStatus, limited rock climbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimbingStatus Context triple: [Mount Tibberoowuccum, hasClimbingStatus, limited rock climbing]
-
A.
climbingStatus
Indicates the current state or condition of an entity with respect to a climbing activity or process (e.g., whether it is climbing, has climbed, or is not climbing).
-
B.
hasClimbingConditions
Indicates that specific environmental or situational conditions suitable for climbing are present or associated with something.
-
C.
climbingAreaStatus
chosen
Indicates the current condition or accessibility state of a climbing area (e.g., open, closed, restricted).
-
D.
hasClimbsCount
Indicates that an entity is associated with a specific number of climbs it has completed or is credited with.
-
E.
hasClimbFrom
Indicates a relationship where one location or object serves as the starting point from which a climb or ascent to another location or object begins.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.