Triple
T35727723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American 4000 m summits |
E1032661
|
entity |
| Predicate | climbingSeasonDependsOn |
P184445
|
FINISHED |
| Object | latitude |
—
|
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: latitude | Statement: [North American 4000 m summits, climbingSeasonDependsOn, latitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingSeasonDependsOn Context triple: [North American 4000 m summits, climbingSeasonDependsOn, latitude]
-
A.
climbingSeason
Indicates the period during which climbing an object, route, or area is typically allowed, feasible, or considered optimal.
-
B.
hasClimbingConditions
Indicates that specific environmental or situational conditions suitable for climbing are present or associated with something.
-
C.
bestSeasonForTrekking
Indicates that a particular season is the most suitable or optimal time for trekking in a given place or context.
-
D.
climbingRegulations
Indicates rules or restrictions governing how climbing activities may be conducted in a given area or context.
-
E.
climbingHabit
Indicates a relationship where an entity has a tendency or behavior of climbing, such as regularly ascending surfaces, structures, or other objects.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.