Triple
T232562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American black bear |
E4438
|
entity |
| Predicate | canClimb |
P10163
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [American black bear, canClimb, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canClimb Context triple: [American black bear, canClimb, yes]
-
A.
climbedFeatureType
Indicates that an entity has climbed or ascended a particular type of physical feature (such as a mountain, wall, or similar structure).
-
B.
climbingSeason
Indicates the period during which climbing an object, route, or area is typically allowed, feasible, or considered optimal.
-
C.
climbingRoute
Indicates a relationship where a path or sequence of holds is designated for ascending a surface, typically in rock climbing or similar activities.
-
D.
notableAscent
Indicates that an entity is recognized for a significant rise, climb, or upward journey, such as an important ascent of a mountain or similar elevation.
-
E.
climbingDifficultyStandardRoute
Indicates the level of difficulty associated with ascending via the standard or most commonly used route.
- F. None of above. chosen
Provenance (4 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f1450f08190872bcf58a32d506b |
completed | Feb. 28, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.