Triple
T402485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de São Rafael |
E9314
|
entity |
| Predicate | hasCliffType |
P1326
|
FINISHED |
| Object | eroded limestone cliffs |
—
|
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: eroded limestone cliffs | Statement: [Praia de São Rafael, hasCliffType, eroded limestone cliffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCliffType Context triple: [Praia de São Rafael, hasCliffType, eroded limestone cliffs]
-
A.
canClimb
Indicates that one entity has the ability or permission to climb another entity or surface.
-
B.
climbedFeatureType
Indicates that an entity has climbed or ascended a particular type of physical feature (such as a mountain, wall, or similar structure).
-
C.
hasRockType
chosen
Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
-
D.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
E.
hasLiftType
Indicates the specific type or category of lift associated with an entity.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca0e2048190a7bf360257965e56 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.