Triple
T1999290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Argentina |
E43426
|
entity |
| Predicate | climbingActivity |
P35393
|
FINISHED |
| Object | acclimatization |
—
|
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: acclimatization | Statement: [Plaza Argentina, climbingActivity, acclimatization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingActivity Context triple: [Plaza Argentina, climbingActivity, acclimatization]
-
A.
climbingDiscipline
Indicates the specific style or category of climbing practiced or associated with an entity (e.g., bouldering, sport, trad).
-
B.
climbingClass
Indicates the difficulty or grade level assigned to a climbing route, problem, or activity.
-
C.
climbingArea
Indicates that one entity is a designated location or site used for climbing activities in relation to another entity.
-
D.
canClimb
Indicates that one entity has the ability or permission to climb another entity or surface.
-
E.
climbedFeatureType
Indicates that an entity has climbed or ascended a particular type of physical feature (such as a mountain, wall, or similar structure).
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.